COMPUTER SCIENCE 2022 AVAILABLE IN PRINT AND DIGITALMOREDIGITAL PRODUCTS ON WORLDSCINET
edited by Max Eiza (University of Central Lancashire, UK), Yue Cao (Lancaster University, UK) & Lexi Xu (China Unicom, China & Beijing University of Posts and Telecommunications, China) by Juan Li, Bin Xin & Jie Chen (Beijing Institute of Technology, China) by Andreas Wichert (Instituto Superior TécnicoUniversidade de Lisboa, Portugal & INESC-ID, Portugal) by Jeremy Pitt (Imperial College London, UK) by Andreas Wichert (Instituto Superior Técnico — Universidade de Lisboa, Portugal & INESCID, Portugal) & Luis Sa-Couto (Instituto Superior Técnico — Universidade de Lisboa, Portugal & INESC-ID, Portugal)
HighlightsHighlightsHighlights Computer Science Catalogue 2022 Editors-in-chief: Sergei V Kalinin (Oak Ridge National Laboratory, USA) & Ian Foster (Argonne National Laboratory, USA & University of Chicago, USA)
edited by Hamid Jahankhani (Northumbria University London, UK & QAHE, UK) edited by Andreas Fischer, Marcus Liwicki & Rolf Ingold (University of Fribourg, Switzerland) by Moran Feldman (The Open University of Israel, Israel) by Qiwen Dong, Xiaoyang Jing, Aoying Zhou & Xiuzhen Hu (East China Normal University, China) page 9 page 10 page 10 page 10 page 11 page 11 page 13 page 21 page 25 page 25 page 13 page 14 page 21 page 21 by Shmuel Tomi Klein (Bar Ilan University, Israel) page 25 by Leigh Metcalf & Jonathan Spring (Carnegie Mellon University, USA) by Robert Schmied (Bundeswehr University Munich, Germany) edited by C H Chen (University of Massachusetts Dartmouth, USA) Editor-in-chief: Satyandra K Gupta (University of Southern California, USA) by Boris Ryabko (Russian Academy of Sciences, Russia & Novosibirsk State University, Russia) & Andrey Fionov (Siberian State University of Telecommunications and Information Sciences (SibSUTIS), Russia) page 14
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“Computer Science” in the subject
professional content
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and machine learning in finance research for academics and professionals • Contributions
Key Features • Aims to integrate the theory of machine learning with R programming
Researchers
The Life of Joshua Lederberg by Jan Sapp (York University, Canada)
Key likely of statistics, from well-known authors including Wayne Ferson, Cheng Few Lee, Brick, Palia, Lu, Robert H
DISCOVERY WITH R Machine Learning Approaches by Zheng Rong Yang (University of Exeter, UK)
US$1950 £1715 Advanced Textbooks in Mathematics AN INTRODUCTION TO MACHINE LEARNING IN QUANTITATIVE FINANCE by
• Will be useful to those who have recently started their career in bioinformatics
GENES, GERMS AND MEDICINE
,
Yu, Chunchi Wu and William
• This book features financial applications, which distinguishes itself from other introductory textbooks in machine learning Has a GitHub repository for all the codes and projects mentioned in the book
econometrics, mathematics,
Computer Science Catalogue 2022 4 Artificial Intelligence / Fuzzy Logic HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING (In 4 Volumes) edited by Cheng Few Lee (Rutgers University, USA) & John C Lee (Center for PBBEF Research, USA)
Readership: and who are interested in financial econometrics, mathematics, statistics, and technology. 978-981-120-238-4(Set) Hao Ni (University College London, UK) Xin Dong (Citadel Securities LLC, UK) Jinsong Zheng (Huatai Securities, China) & Guangxi Yu (SWS Research, China)
5056pp Sep 2020
Genes, Germs and Medicine explores the development of modern biomedical science in the United States through the life of one of the Twentieth Century’s most influential scientists.
• An opportunity to explore and incorporate key principles of transformative technology into new or existing business models
Yangru Wu, Ivan
INTELLIGENT AUTOMATION: WELCOME TO THE WORLD OF HYPERAUTOMATION Learn How to Harness Artificial Intelligence to Boost Business & Make Our World More Human by Pascal Bornet, Ian Barkin (SYKES, USA) & Jochen Wirtz (National University of Singapore, Singapore)
first attempt to combine the applications
Key
Features
424pp Mar 2021 978-981-123-598-6(pbk) US$38 £35 978-981-122-547-5 US$98 £85
Readership: Molecular biologists, Microbi ologists, Bioengineers, Historians of biology, Historians of medicine, Historians of Science, Microbial evolutionists, Evolutionary biologists.
Readership: Junior bioinformaticians and computational biologists, postgraduate students.
Horng-Shing
Darius
“This book on Intelligent Automation is a mustread today for any organization executive — for profit or not. It describes in detail the advantages of human-and-robot interaction, emphasizing corporate, personal, and societal benefits. If you have not started to implement automation yet, this book can help be a catalyst for action. If you have already started your journey, effectively scaling automation programs will be the critical difference in winning in the Automation First era.” Daniel Dines, Co-Founder and CEO at UiPath
professionals
Features • A
Yong Shi, Son-Nan Chen, T
,
BIOLOGICAL PATTERN
Greene
Readership: Business owners, entrepreneurs, researchers and early adopters who are interested in the field of intelligent automation, artificial intelligence and machine learning. 432pp Jan 2021 978-981-123-559-7(pbk) US$24.99 £19 978-981-123-548-1 US$48 £40
• Helps readers transfer their learning of machine learning theory to practical implementation • Focuses on individual biology pattern discoveries using machine learning approaches
400pp Dec 2021 978-981-124-011-9 US$118 £105
Readership: This textbook is suitable for MSc students or final year undergraduate students in financial mathematics, machine learning or computational finance. It would serve as a graduate textbook in introducing machine learning and its applications in quantitative finance. It may also be appropriate for those interested in pursuing a career in quantitative finance or for practitioners in the financial sector who wish to develop an in-depth understanding of machine learning and its applications to finance. 264pp Apr 2021 978-1-78634-964-4(pbk) US$48 £40 978-1-78634-936-1 US$88 £75 Singapore University of Social SciencesWorld Scientific Future Economy Series - Vol 2 THE EMERGING BUSINESS MODELS by Chong Guan, Zhiying Jiang & Ding Ding (Singapore University of Social Sciences, Singapore) Key Features • The ability to identify and navigate the technologies and emerging business models disrupting the various industries
Readership: Undergraduate and graduate students. 220pp Jun 2020 978-981-120-440-1(pbk) US$48 £40 978-981-120-392-3 US$88 £75
WORLD SCIENTIFIC
“These problems reach beyond the classical sequence-structure conundrum but are essential for structure-based drug development. This book addresses these problems and opens avenues of research and discovery for structural biologists who may find it very rewarding and of assistance in solving their problems.” Robert Huber, Nobel Laureate
220pp Mar 2020 978-1-78634-771-8 US$98 £85
visit: www.worldscientific.com
60pp Feb 2020 978-0-00-098913-0(ebook) US$800
Readership: Primary market: Graduate students in Biomedical Engineering, MD/PhD or Computer Science focusing on interdisciplinary translational research. Pharmaceutical researchers seeking in-depth understanding of the physical principles at work in rational drug design. Practitioners in molecular targeted medicine and biotechnology seeking to enlarge their technological base through incorporation of AI.
COMPUTING OPTIMIZATIONANDFOR DC POWER SYSTEMS OF ELECTRIC TRANSPORT by Dmytro Bosyi (Dnipro National University of Railway Transport, Ukraine), Oleh Sablin (Dnipro National University of Railway Transport, Ukraine) & Yevhen Kosariev (Dnipro National University of Railway Transport, Ukraine)
Our report leverages on this first-hand access and insights to provide readers with useful intelligence and data presented in effective graphs and tables. Not only does it facilitate your research and better understanding of our findings, our in-depth case studies and analysis are also comprehensive for teaching references.
Written at a time of rapid development of information technologies in various fields, this book serves as a kind of bridge for the introduction of artificial intelligence into the electric transport power supply systems.
Readership: Senior students and postgraduate students of higher educational institutions, scientific employees of research institutes, specialists of design organizations.
Readership: Researchers, professionals, academics, graduate students and undergraduate students in physics, AI, machine learning, and relativity and gravitation. 248pp Jul 2021 978-981-124-101-7 US$58 £50
ARTIFICIAL INTELLIGENCE PLATFORM FOR MOLECULAR TARGETED THERAPY A Translational Science Approach by Ariel Fernández (Former Hasselmann Professor of Bioengineering, Rice University, USA & CONICET, National Research Council, Argentina)
Towards Mètis and Mindfulness by W David Holford (University of Quebec at Montreal (UQAM), Canada)
Secondary market: Academic physical chemists, bioinformaticians and biophysicists interested in incorporating AI to their research toolbox.
OF TECHNOLOGIESINTELLIGENT
Readership: Graduate students, researchers and professionals in Geometry.
250pp Sep 2021 978-981-123-727-0 US$98 £85
Geometry of Statistical Manifolds and Divergences by Hiroshi Matsuzoe (Nagoya Institute of Technology, Japan)
HUMAN ENACTMENT
As an English-language media group with one of the largest on-the-ground technology reporting teams in China, the South China Morning Post has unmatched access and insights into the country’s leading and upcoming AI players.
Key Features
With the US and China accounting for 70 per cent of global AI Investment, it is crucial to take a deep dive into China AI’s development and deployment across industries, to have a better grasp of market development.
468pp Apr 2021 978-981-123-230-5 US$148 £130
This book demystifies what artificial intelligence is, examines its strength and limitations in comparison to what humans are capable of, and investigates the nature of human adaptive expertise across the concept of mètis. It also examines a particular family of mindsets that we as humans have adopted over the ages, namely epistemologies of representational knowledge.
DIFFERENTIAL GEOMETRYFOUNDATIONSGEOMETRICALOFINFORMATION
• This book gives differential geometrical foundations of information geometry.
WHAT ARE TENSORS
EXACTLY? by Hongyu Guo (University of Houston-Victoria, USA)
• The contents of this book include basic applications of information geometry. For readers who are not an expert of statistics, these examples will help to understand the key essence of information geometry
AN INSIDE LOOK INTO CHINA’S AI DEVELOPMENT CHINA AI REPORT 2020 Brought to you by SCMP Research
5 For more information,
The goal of this book is to elucidate the concepts in an intuitive way but without loss of rigor, to help students gain deeper understanding. As a result, they will not need to recite those definitions in a parrot-like manner any more. This volume answers common questions and corrects many misconceptions about tensors. A large number of illuminating illustrations helps the reader to understand the concepts more easily.
350pp Aug 2022 978-981-4618-76-2 US$130 £108
Readership: Graduate, academics, and professionals in the fields of science, technology, and society, human-machine interaction, humancomputer interaction, cognitive robotics, and artificial intelligence.
DEEP LEARNING FOR PHYSICS RESEARCH by Martin Erdmann (RWTH Aachen University, Germany), Jonas Glombitza (RWTH Aachen University, Germany), Gregor Kasieczka (University of Hamburg, Germany) & Uwe Klemradt (RWTH Aachen University, Germany)
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.
Key Features
Series
Readership: Undergraduate students in fields such as mathematics, statistics and data science, engineering, computer science and business analytics. Graduate students in natural and social sciences. Students taking a first course in probability, or a course on probability for statistics and data science. High school math teachers and STEM students. Students in natural and social sciences, economics and finance. 180pp ug 2021 978-981-123-851-2(pbk) US$34 £30 978-981-123-749-2 US$58 £50
• A new view on the role of the Fibonacci numbers theory in modern mathematics
Readership: High school, college and university students and teachers, professionals, scientists and investors interested in history of mathematics, Fibonacci numbers, golden section and their generalization. 248pp May 2020 978-981-120-710-5 US$88 £75
Reviews of the First Edition: “What makes this book unique among books of similar size and scope is that when the author decided to include something in the book, he has treated it in a way similar to the common practice in textbooks, with very detailed and reader-friendly explanations, fully worked-out examples, and even numerous exercises ... There are no prerequisites beyond second-semester calculus and the book can be used for selfstudy as well as in the classroom.”
CHOICE
Readership: Students and Professionals in Machine Learning and AI.
• This book bridges the gap between introductory general-purpose machine learning texts and cutting-edge research papers in AI applied to HEP. This is the book researchers always want to have handy when a new student or researcher joins their groups
CLUSTERING Theoretical and Practical Aspects by Dan A Simovici (University of Massachusetts Boston, USA)
• It provides the reader with state-of-the-art tools to address classic HEP research problems and with the foundations to develop methods to solve new ones
867pp Sep 2021 978-981-124-119-2 US$218 £190
Key Features: • Development of the original historical and mathematical view on Euclid’s “Elements”, based on the hypothesis of Proclus (411 – 485)
Key Features • This is the first textbook on deep learning technology addressing physicists
APPLIED
• This book enables the reader to conduct unique and substantive research, only bounded by their own creativity. The book covers the application of wearable and wireless inertial systems, such as a smartphone, for the quantification of a highly prevalent movement disorder (Essential tremor)
• Solutions to neural network exercises and data are available at World Scientific Readership: Physicists worldwide who are looking for a practical introduction to the technology of deep learning, as it provides comprehensive course material for physics students (2nd year and above) to get started in a subfield of artificial intelligence. 340pp Jul 2021 978-981-123-745-4 US$98 £85
6 on Knots and Everything
BASIC PROBABILITY What Every Math Student Should Know (2nd Edition) by Henk Tijms (Vrije University, The Netherlands)
&LEARNINGPYTHONDEVELOPMENTSOFTWAREWITH&MACHINEBYWEARABLEWIRELESSSYSTEMSFORMOVEMENTDISORDERTREATMENTVIADEEPBRAINSTIMULATION
• The book is based on a lecture series with application-oriented design
Key Features
by Alexey Stakhov (International Club of the Golden Section, Canada & Academy of Trinitarism, Russia)
Readership: Graduate students and physicists interested in AI/ML applications to HEP; data scientists and ML researchers interested in “big science” data analysis and simulation. 720pp Dec 2021 978-981-123-402-6 US$188 £165
by Robert LeMoyne (Northern Arizona University, USA) & Timothy Mastroianni
Readership: Researchers, professionals, academics and graduate students in machine learning, data mining and artificial intelligence.
• Generalization of Fibonacci numbers and golden section, following from the diagonal sums of Pascal triangle (mathematical discovery of the outstanding American mathematician George Polya)
Computer Science Catalogue 2022
edited by Paolo Calafiura (Lawrence Berkeley National Laboratory, USA), David Rousseau (Laboratoire de Physique des 2 Infinis Irène Joliot-Curie, France) & Kazuhiro Terao (SLAC National Accelerator Laboratory, USA)
MATHEMATICS OF HARMONY AS A NEW SCIENCEPARADIGMDIRECTIONINTERDISCIPLINARYAND“GOLDEN”OFMODERN
ARTIFICIAL INTELLIGENCE FOR HIGH ENERGY PHYSICS
• Central to the application of machine learning, which is thoroughly discussed from an applied perspective, is the presented software development process using Python for post-processing the acquired inertial signal data
250pp Aug 2021 978-981-123-595-5 US$88 £75
Volume 1: The Golden Section, Fibonacci Numbers, Pascal Triangle, and Platonic Solids
Readership: Researchers and practitioners in the fields of machine learning, data science, artificial intelligence, statistics, bioinformatics, computational biology, biology, medicine and chemistry.
268pp Oct 2021 978-1-80061-093-4 US$98 £85
1000pp Jan 2022 978-981-123-503-0(Set) US$348 £305
BRAIN VS COMPUTER The Challenge of the Century is Now Launched (2nd Edition) by Jean-Pierre Fillard Review of the First Edition: “General readers (especially) and all those involved in computing will benefit from considering the profound questions that are raised in this work.” CHOICE connect
• For the first time, the book applies cognitive concept to the design of satellite systems
The book is a professional introduction to alternative computing — the interdisciplinary science aimed to exploit principles of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices
WORLD SCIENTIFIC
visit: www.worldscientific.com
ARTIFICIAL INTELLIGENCE From Beginning to Date by Zi-Xing Cai (Central South University, China & Hunan ZIXING AI Academy, China), Lijue Liu (Central South University, China & Hunan ZIXING AI Academy, China), Baifan Chen (Central South University, China & Hunan ZIXING AI Academy, China) & Yong Wang (Central South University, China)
• An overview of consolidated approaches and methods as well as an up-to-date overview of the state-of-the-art methodologies and applications of deep learning in biology and medicine. As such, the book is also a useful guide to help navigate the literature, providing a reference for both practitioners and scientists
US$158 £140
For more information, visit: www.worldscientific.com
This book has obvious innovations in the organization of content. Based on the core technology of artificial intelligence, the book is divided into three parts, namely, knowledge-based artificial intelligence, data-based artificial intelligence, and the main application areas of artificial intelligence
328pp Sep 2020 978-981-121-434-9 US$128 £115 DEEP LEARNING IN BIOLOGY AND MEDICINE edited by Davide Bacciu (University of Pisa, Italy), Paulo J G Lisboa (Liverpool John Moores University, UK) & Alfredo Vellido (Polytechnic University of Catalonia, Spain)
• The book also includes several useful references to shared resources, i.e. datasets, code, networks, etc.
WSPC Book Series in Unconventional Computing HANDBOOK COMPUTINGUNCONVENTIONALOF (In 2 Volumes) Volume 1: Theory Volume 2: Implementations edited by Andrew Adamatzky (University of West of England, Bristol, UK)
Readership: Students of artificial intelligence and engineers working in artificial intelligence. 296pp Mar 2021 978-981-122-936-7(pbk) US$48 £40 978-981-122-814-8 US$108 £95
Readership: General public who are interested in the competition between brain and computer, and artificial intelligence. 324pp Nov 2020 978-981-122-626-7(pbk) US$48 £40 978-981-122-500-0 US$98 £85
COGNITIVE SATELLITE SYSTEM by Jianjun Zhang (China Academy of Space Technology, China) & Jing Li (Beijing Institute of Technology, China)
• This book introduces cognitive radio theory into satellite communication systems, and realizes the concept of dynamic spectrum access of satellite cognitive wireless networks, to overcome current shortage of spectrum resources available in satellite communication systems
• The first to bring deep learning techniques to the life science communities, whereas other books are focused on bringing life science knowledge to the deep learning community
MACHINE LEARNING Concepts, Tools and Data Visualization by Minsoo Kang (Eulji University, South Korea) & Eunsoo Choi (All4Land Inc., South Korea)
Key Features
Readership: The book is inter-disciplinary, it appeals to computer scientists, engineers, mathematicians, physicists, chemists, philosophers, logicians. May also be ideal supplementary reading for courses on theory of computation, future and emergent technologies, complex systems, mathematical machines, automata theory and applications, non-linear systems, complexity, unconventional computing.
7 For more information,
Readership: This is an advanced text that applies cognitive systems to satellite technologies. It will be useful to scientists and researchers working on spacecraft technology and intelligent decision making.
This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practice questions are provided throughout the book.
Key Features
Readership: Readerships are majorly in the discipline/profession of artificial intelligence, intelligent S&T, computer science and engineering, automatic control, electronic engineering, management and decision system engineering, mechatronic engineering and robotics, etc. 576pp Jun 2021 978-981-122-371-6
ARTIFICIAL INTELLIGENCE AND TECHNOLOGIESEMERGING INTERNATIONALINRELATIONS
Textbook: Request Inspection Copy at sales@wspc.com or scan the QR code
LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING
Readership: Professionals, academics, researchers, and graduate students in artificial intelligence/machine learning, neural networks, pattern recognition, and machine perception/computer vision.
Readership: Researchers and postgraduate students of International Relations, Political Science as well as Computer Science and Information Engineering. These are in the English-speaking and technologically advanced markets such as the UK, the US, Canada, Australia, Israel, Singapore, as well as the growing AI and technology markets and scholarships in South Africa, Kenya, Rwanda, Nigeria and Ethiopia. 192pp Jun 2021 978-981-123-454-5 US$78 £70
by Jean-Pierre Fillard
• The book is comprehensive in its evaluation of the origins and lifecycles of technologies and the advantages they generate for countries which have and do not have them, as well as the global effects of such technological inequalities
Readership: This book is intended for the general public as an introduction to a sub-field of Artificial Intelligence. 204pp May 2020 978-981-121-210-9(pbk) US$38 £35 978-981-121-138-6 US$78 £70
• It will be a welcome addition to the handful of titles on the subject of transhumanism
• This book covers, in more depth than usual, duality (Chapter 9), vector and matrix norms (Chapter 7), and the spectral theorems (Chapter 15)
824pp Feb 2020 978-981-120-771-6(pbk) US$98 £85 978-981-120-639-9 US$198 £175
Computer Science Catalogue 2022 8
Key Features
• The book characterises the early effects of new technologies in international relations and evaluates their theoretical and policy implications
Readership: Students going for advanced undergraduate applied math classes; master levels classes in engineering optimization, machine learning, and applied mathematics; and doctoral seminar classes in machine learning and engineering optimization.
896pp May 2020 978-981-121-656-5 US$198 £175
STATISTICAL MACHINE LEARNING WITH APPLICATIONS IN FINANCE by Gordon Ritter (Columbia University, USA & New York University, USA & Baruch College, USA)
This unique compendium develops a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. It introduces the key elements of a parametric statistical model: likelihood, prior, and posterior, and show how to use them to make predictions.
An Indissoluble Nexus by Richard J Wallace (University College Cork, Ireland)
Key Features
• Artificial intelligence looked at from a novel viewpoint that machine intelligence is an artificial aid to human intelligence, and the two co-exist in improving to deliver a better solution
Key Features
• Clarification of “superintelligence” and similar ideas
Readership: Anyone from the general public with an interest in AI. 368pp Mar 2021 978-981-123-308-1(pbk) US$38 £35 978-981-123-287-9 US$78 £70
Key Features
ARTIFICIAL INTELLIGENCE/ HUMAN INTELLIGENCE
A
Readership: Undergraduate and graduate students interested in mathematical fundamentals of linear algebra in computer vision, machine learning, robotics, applied mathematics, and electrical engineering.
• The reader friendly writing style which presents difficult concepts in a “down to earth” example driven manner
Volume II: Fundamentals of Optimization Theory with Applications to Machine Learning by Jean Gallier (University of Pennsylvania, USA) & Jocelyn Quaintance (University of Pennsylvania, USA)
Key Features
Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning by Jean Gallier (University of Pennsylvania, USA) & Jocelyn Quaintance (University of Pennsylvania, USA)
TRANSHUMANISM Realistic Future?
480pp Jan 2022 978-981-123-233-6 US$128 £115
• It explores the futuristic topic of a successful co-existence of man and machine, not as separate entitles, but integrated
by Bhaso Ndzendze (University of Johannesburg, South Africa) & Tshilidzi Marwala (University of Johannesburg, South Africa)
LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING
• This book fills a gap in the market in that it is a mathematically rigorous book which provides topical applications for the fields of machine learning, computer vision, and robotics
• Combines the most crucial aspects of linear and nonlinear optimization under one volume
9
WHAT IS INTELLIGENCE?ARTIFICIAL
• To showcase Deep Learning applications in the area of sensing, including medical image processing, remote sensing, human activity recognition, etc.
• With this ability to learn from examples, and generalize into concepts, this edited volume will attempt to narrow the gap between human and machine and pave the way the arrival of thinking machine
edited by Zhenghua Chen, Min Wu & Xiaoli Li (Institute for Infocomm Research, Singapore)
Readership: Graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology. 256pp Mar 2021 978-981-122-711-0 US$88 £75
GRANULAR COMPUTINGVIDEO
A Conversation between an AI Engineer and a Humanities Researcher by Suman Gupta (The Open University, UK) & Peter H Tu (General Electric Research, USA)
Readership: General informed readers. Readers with knowledge of AI and its underpinning principles will be interested. In particular, those with a disciplinary background in computing and technological development, policy studies, current affairs, philosophy and discourse analysis. Appropriate for undergraduate students and upwards, or those whose interest is more conceptual than the general user of technology. 304pp Aug 2020 978-1-78634-863-0 US$98 £85
Readership: Professionals, researchers, academics and graduate students in AI and databases. 292pp Mar 2020 978-981-120-737-2 US$118 £105
Key Features
• To feature Deep Learning as a technology capable of learning inductively to create concepts
with Rough Sets, Deep Learning and in IoT by Debarati B Chakraborty (Indian Institute of Technology Jodhpur, India) & Sankar K Pal (Indian Statistical Institute Kolkata, India)
WORLD SCIENTIFICFor more information, visit: www.worldscientific.com
Readership: This volume is aimed at fellow researchers in the field of deep learning in AI, with the aim of showcasing various applications in the area of sensing. 324pp Apr 2021 978-981-121-883-5 US$108 £95
Richard Hartley, Australian National University, Australia
GENERALIZATION WITH DEEP LEARNING For Improvement on Sensing Capability
This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.
Key Features • Linking the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis
This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the dataintensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle.
352pp Aug 2020 978-981-122-462-1 US$138 £120 East China Normal University Scientific Reports - Vol 11
• Is structured according to the major challenges of video processing (e.g., tracking, occlusion handling, reliability measure, scene recognition, and real-time event prediction in IoT) while defining new variations of rough sets and granular computing developed depending on the type of problems
Readership: Professionals, academics, researchers, and graduate students in artificial intellgence/machine learning and databases.
Intelligent Information Systems - Vol 6 RECOMMENDER SYSTEMS Advanced Developments by Jie Lu, Qian Zhang & Guangquan Zhang (University of Technology Sydney, Australia)
Readership: Professionals, researchers, academics, and graduate students in artificial intelligence, robotics and machine learning. 1000pp May 2020 978-981-120-444-9(Set) US$980 £860
“A light-hearted, but engaging conversation about one of the key technologies of our age. I recommend this book to anyone interested in the broader issues around Artificial Intelligence.”
World Scientific Series on Emerging Technologies: Avram Bar-Cohen Memorial Series - Vol 1 HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES (In 2 Volumes) Volume 1: Big Data Methods in Experimental Materials Discovery Volume 2: Advanced Analysis Solutions for Leading Experimental Techniques edited by Surya Kalidindi (GaTech, USA), Sergei V Kalinin (Oak Ridge National Laboratory, USA), Turab Lookman (Los Alamos National Laboratory, USA), Kerstin Kleese van Dam (Brookhaven National Laboratory, USA), Kevin G Yager (Brookhaven National Laboratory, USA), Stuart I Campbell (Brookhaven National Laboratory, USA), Richard Farnsworth (Brookhaven National Laboratory, USA) & Maartje van Dam (Brookhaven National Laboratory, USA) Editors-in-chief: Sergei V Kalinin (Oak Ridge National Laboratory, USA) & Ian Foster (Argonne National Laboratory, USA & University of Chicago, USA)
The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems — basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications.
APPROACHESPROBABILISTICFOR SOCIAL MEDIA ANALYSIS Data, Community and Influence by Kun Yue, Jin Li, Hao Wu, Weiyi Liu & Zidu Yin (Yunnan University, China)
• Algorithm design • Application of multi-objective uncertain optimization approaches
Quantum Problem Solving and Machine Learning (2nd Edition) by Andreas Wichert (Instituto Superior Técnico - Universidade de Lisboa, Portugal & INESC-ID, Portugal)
• The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from the contributors
Computer Science Catalogue 2022 10
This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.
by Juan Li (Beijing Institute of Technology, China), Bin Xin (Beijing Institute of Technology, China) & Jie Chen (Beijing Institute of Technology, China)
This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).
Key Features
PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE
FIND THESE BOOKS VALUABLE TO YOUR RECOMMENDCOMMUNITY?THEMTO YOUR LIBRARIAN.
Readership: Undergraduate and graduate students, researchers and practitioners in the fields of computer science, mathematics, logic, philosophy, physics, and a large category of educated readers.
Readership: Researchers and professionals in computer science that specialise or deal with multi-objective optimization and uncertain optimization in decision making, system designing, and scheduling. 248pp Aug 2020 978-981-121-898-9 US$98 £85
Readership: Aspiring Data Scientists and Machine Learning (ML) experts — undergraduate, graduate, and independent. Also applicable to Software developers, engineers, and others working in technical professions interested in learning about Data Science and Machine Learning; and Managers working in financial, technological, and medical organisations, interested in learning about Data Science and Machine Learning.
Readership: Researchers, academics, professionals and graduate students in artificial intelligence/machine learning and software engineering. 456pp Jul 2021 978-981-123-991-5 US$158 £140
Key Features • Covers Data Science and Machine Learning, the most topical technical subjects of our day • No formal prerequisites, includes an overview of Python, both foundations and advanced features • Covers the mathematical foundations of Data Science and Machine Learning, teaches through case studies built on real dataset and includes numerous solved exercises
300pp Jun 2022 978-981-121-572-8 US$98 £85
PYTHON, DATA SCIENCE AND MACHINE LEARNING From Scratch to Productivity by Paul Alexander Bilokon (Thalesians Ltd, UK)
496pp Aug 2020 978-981-122-430-0 US$168 £150 TO HALT, OR NOT TO HALT. THAT IS THE QUESTION by Cristian S Calude (University of Auckland, New Zealand)
Readership: Professionals, researchers, academics, and graduate students in databases, artificial intelligence, pattern recognition and neural networks.
250pp Jan 2022 978-981-123-227-5 US$98 £85
Readership: Professionals and researchers in the areas of Smart Mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems), general public interested in technological advances. 212pp Jul 2020 978-1-78634-785-5 US$88 £75
Written in an informal and thought-provoking language, supported with suggestive illustrations and applications and almost free of arcane mathematics (formal arguments are relegated to a special part dedicated to the mathematically-oriented reader), the book will stimulate the curiosity of the reader interested in the consequences of the limits of computing and in various attempts to cope with them.
Key Features • This book is brought to you by authors from different backgrounds in academia and industry from around the world
TOWARD SUSTAINABLE AND ECONOMIC SMART MOBILITY Shaping the Future of Smart Cities edited by Max Eiza (University of Central Lancashire, UK), Yue Cao (Lancaster University, UK) & Lexi Xu (China Unicom, China & Beijing University of Posts and Telecommunications, China)
ENVIRONMENTSOPTIMIZATIONBASEDDECOMPOSITION-EVOLUTIONARYINCOMPLEX
ARTIFICIAL INTELLIGENCE METHODS FOR SOFTWARE ENGINEERING edited by Meir Kalech (Ben-Gurion University of the Negev, Israel), Rui Abreu (University of Porto, Portugal) & Mark Last (Ben-Gurion University of the Negev, Israel)
• Written in clear fluid prose by an experienced and previously published author
Readership: Advanced Undergraduates, Master’s Students and PhD Students in Computer Science and Artificial Intelligence subjects. Supports an entire course on self-organising multi-agent systems. 346pp Sep 2021 978-1-80061-042-2
Key Features • There is no other book which so comprehensively tackles such a range of important engineering and social issues which are so pertinent to the study, design and implementation of socio-technical systems in the Digital Society
The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.
• A step-by-step textbook, explaining how any computer research lab can also build artificial brains by following the techniques explained in the text
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MULTI-AGENTSELF-ORGANISINGSYSTEMS
Readership: Professionals, academics, researchers, and graduate students in artificial intelligence/machine learning, neural networks, pattern recognition, and machine perception/computer vision.
DEEP LEARNING FOR EEGBASED INTERFACESBRAIN-COMPUTER
400pp Aug 2022 978-981-4304-27-6 US$95 £79
640pp Feb 2021 978-981-123-405-7 US$168 £150
ARTIFICIAL
The volume will be a useful reference guide for relevant personnel in state ministries and commissions, state-owned enterprises, big data, AI, as well as teachers, researchers and students in higher education institutions.
Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of computer science, data mining, artificial intelligence, and neuroscience. Will also be of interest to industry or companies invested in combining brain signals with real world applications including user authentication, neurological diagnosis, autonomous cars, smart homes, IoT, etc. 340pp Aug 2021 978-1-78634-958-3 US$128 £115
• The present book will make a new vista for the readers which may give an intelligent way to the fractional order systems with the help of ANNs. Our main aim here is to handle the FDEs governing the fractional order models using the recently developed machine intelligence method viz ANNS
Readership: Professionals, academics, researchers, and graduate students in artifical intelligence, digital security, and databases.
SCIENTIFIC
MACHINE LEARNING — A JOURNEY TO DEEP LEARNING with Exercises and Answers by Andreas Wichert (Instituto Superior Técnico — Universidade de Lisboa, Portugal & INESC-ID, Portugal) & Luis Sa-Couto (Instituto Superior Técnico — Universidade de Lisboa, Portugal & INESC-ID, Portugal)
11 WORLDFor more information, visit: www.worldscientific.com
• The approach is highly inter-disciplinary and far-reaching in scope. It contains knowledge and insight which is important for engineers to understand. It analyses deep theoretical issue but also demonstrates by code
BLOCKCHAIN
Readership: This book will be an essential source for students, scholars, practitioners, researchers and academicians in the assorted fields of engineering and sciences interested to model physical problems with ease through the use of ANN. 250pp May 2022 978-981-121-880-4 US$98 £85
Jeremy Pitt (Imperial College London, UK)
ARTIFICIAL BRAINS An Evolved Neural Net Module Approach by Hugo de Garis (Xiamen University, China)
Representations, Algorithms and byApplications
Key Feature
US$48 £40 Series on Deep Learning Neural Networks - Vol 1
Algorithmic Foundations of CyberbyAnarcho-Socialism
US$128 £115
Xiang Zhang (Harvard University, USA & University of New South Wales, Australia) & Lina Yao (University of New South Wales, DeepAustralia)Learning for EEG-based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms, and applications. BCI bridges humanity’s neural world and the physical world by decoding an individuals’ brain signals into commands recognizable by computer devices.
• The first artificial brain textbook in the world
Empowering Digital Economy by Yang Yan (Zhongguancun BigData Industry Alliance, China & Zhongguancun Digital Media Industry Alliance, China & Terminus Technologies Group, China), Bin Wang (Zhongguancun BigData Industry Alliance, China & Zhongguancun Digital Media Industry Alliance, China & Terminus Technologies Group, China) & Jun Zou (Zhongguancun BigData Industry Alliance, China & Zhongguancun Digital Media Industry Alliance, China & Terminus Technologies Group, China)
Key Features
Readership: Undergraduate and graduate students in the field of artificial brain, artificial intelligence and robotics.
150pp Jul 2021 978-981-123-650-1
NEURAL NETWORKS Methods and Applications in Fractional Order Systems by Susmita Mall & Snehashish Chakraverty (National Institute of Technology Rourkela, India)
Jed S Rakoff, United States District Judge for the Southern District of New York, New York Review of Books
Readership: Researchers, practicing engineers and specialists as well as for postgraduate and advanced undergraduate students dealing with computer learning and artificial intelligence. 992pp Jan 2022 978-981-124-514-5 (Set) US$295 £260
152pp Mar 2020 978-981-120-745-7 US$78 £70
HANDBOOK ON COMPUTER LEARNING AND INTELLIGENCE (In 2 Volumes) Vol 1: Explainable AI and Supervised Learning Vol 2: Deep Learning, Intelligent Control and Evolutionary editedComputationbyPlamen Parvanov Angelov (Lancaster University, UK)
• Elaborates current mainstream dynamic defense technologies from four aspects: its internal hardware platform, software service, information data and external network communication, it also ascertains their possible evolution routes, clarifies their relationship with existing security products, and makes macro analysis and discussions on security gain and overall system efficiency of these technologies
FUZZY SYSTEMS TO QUANTUM MECHANICS by Hong-Xing Li (Beijing Normal University at Zhuhai, China)
Readership: The book is accessible to students, business leaders and practitioners who are interested in current and future challenges of financial and economic systems. 608pp Apr 2021 978-1-78634-949-1 US$168 £150
Readership: Researchers, academics, professionals and graduate students in AI, Information Technology and Software Engineering.
Series in Machine Perception and Artificial Intelligence - Vol 87
US$28 £25 Intelligent Information Systems - Vol 5 ADAPTIVE MICRO LEARNING Using Fragmented Time to Learn by Geng Sun (University of Wollongong, Australia), Jun Shen (University of Wollongong, Australia) & Jiayin Lin (University of Wollongong, Australia)
WHEN MACHINES CAN BE JUDGE, JURY, AND EXECUTIONER
DYNAMICALLY ENABLED
This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.
• Prominent contributors focus on different aspects of economic and financial systems leading to a global overview of crisis implication
FINANCIAL AND ECONOMIC SYSTEMS Transformations and New Challenges edited by Zied Ftiti (EDC Paris Business School, France), Hachmi Ben Ameur (INSEEC School of Business and Economics, France) & Waël Louhichi (ESSCA School of Management, France)
388pp Jul 2021 978-981-123-433-0 US$138 £120
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.
“Is it fair for a judge to increase a defendant’s prison time on the basis of an algorithmic score that predicts the likelihood that he will commit future crimes? Many states now say yes, even when the algorithms they use for this purpose have a high error rate, a secret design, and a demonstratable racial bias. The former federal judge Katherine Forrest, in her short but incisive When Machines Can Be Judge, Jury, and Executioner, says this is both unfair and irrational ...”
CYBER DEFENSE by Lin Yang, Quan Yu Key Features • Deeply analyzes problems caused by system homogenization, and summarizes the basic status quo of dynamic defense technology
Computer Science Catalogue 2022 12 Computer Security / Blockchain
Readership: Professionals, academics, researchers, and graduate students in fuzzy logic, quantum mechanics and quantum information, and probability theory.
Readership: Graduate students in electronic information related majors who are interested in dynamically-enabled cyber defense, scientists and engineers who are specialised in network security research.
Readership: Members of the general public interested in Criminal justice and the impact of advancements in AI on the justice system and students studying justice, philosophy, and criminology. Lawyers, prosecutors, judges, and probation officers may also benefit.
160pp Apr 2021 978-981-123-272-5
• This book differs from other titles by focusing on the implication of crises on economic and financial systems
508pp Mar 2020 978-981-121-118-8 US$158 £140
Key Features
Justice in the Age of Artificial Intelligence by Katherine B Forrest
This unique compendium represents important action of fuzzy systems to quantum mechanics. From fuzzy sets to fuzzy systems, it also gives clear descriptions on the development on fuzzy logic, where the most important result is the probability presentation of fuzzy systems.
Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of finance, financial technology, business management and innovation. 240pp Dec 2021 978-981-123-145-2(pbk) US$48 £40 978-981-123-000-4 US$98 £85
• Adopts an inter-disciplinary approach to address the emerging issues in the finance field, particularly in the area of blockchain technology and its applications
USING SCIENCE CYBERSECURITYIN by Leigh Metcalf (Carnegie Mellon University, USA) & Jonathan Spring (Carnegie Mellon University, USA)
• This book provides up to date perspectives regarding cyber threats and discusses concrete strategies and tactics that can be utilized to manage and neutralize these risks
596pp Mar 2020 978-981-120-445-6 US$178 £155
• This book starts from fundamental quantum theory to quantum annealing computer: from fundamentals to the cutting edge
• State of the art research dissemination
Key Features • It covers a comprehensive collection of scientific methods in cybersecurity research
Risks, Challenges, and Solutions
FUNDAMENTALS OF QUANTUM INFORMATION
GUIDE edited by Hamid Jahankhani (Northumbria University London, UK & QAHE, UK)
•
PRACTITIONER’SSECURITY
Key Features
Key Features
CYBERSECURITY ASPECTSLEGAL-REGULATORYAND edited by Gabi Siboni (Tel Aviv University, Israel) & Limor Ezioni (Academic Center for Science and Law, Israel)
• The book utilizes a unique approach and compiles diverse viewpoints from cyber security and supply chain management experts from the industry as well as academia
edited by Steven Carnovale (Rochester Institute of Technology, USA) & Sengun Yeniyurt (Rutgers University, USA)
Extended Edition by Hiroyuki Sagawa (University of Aizu, Japan) & Nobuaki Yoshida (Kansai University, Japan)
• The approach of the book is unique for representing diverse and dynamic contributors from different academic and professional backgrounds as well as countries, allowing for its vast scope and representation of contemporary subjects
• The book is a comprehensive work assessing the legal regulatory aspects of cybersecurity. The content goes beyond the coverage of solely national responses or core issues, and presents characteristics and regional surveys of wide-ranging related themes
Readership: This book is a lecture notes that provides an introduction to the basic ideas and concepts of quantum computation and information for both undergraduate and graduate students. Written for engineers and research scientists working on Infromation Throey and Quantum Information. 312pp Oct 2020 978-981-122-721-9 US$78 £70
• All subjects are self-contained and describes all essential materials for quantum information and computations
• There are many illustrations and problems to help to digest materials, which are sometime not so easy to catch up
• Facets/ issues of the cyber security from the practitioner’s angle in the era of Autonomy, Artificial Intelligence and Ethics
Singapore University of Social SciencesWorld Scientific Future Economy Series - Vol 6 by David Kuo Chuen Lee, Ding Ding & Chong Guan (Singapore University of Social Sciences, Singapore)
Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of cybersecurity, information security, and science of cybersecurity. 304pp Apr 2021 978-981-123-585-6 US$98 £85
Readership: Educational instructors, cybersecurity professionals, and policy strategists; Advanced undergraduate and graduate students, researchers and practitioners in the fields of computer science, security and legal studies. Courses include cybersecurity; cybersecurity and law; data security; cybersecurity regulation; cybersecurity law; regulation and policy; privacy law and cybersecurity; information and cybersecurity; law and technology; law, science and technology; innovation, technology and the law. 328pp Jan 2021 978-981-121-915-3 US$128 £115
• Provides insights into the most important technological developments in the financial services to better understand the future trends in the digital economy Has a strong focus on the local and regional applications of the new technologies with detailed analysis on some successful case studies
Key Features
Trends, Challenges and Solutions in Contemporary Supply Chain Management - Vol 1 CYBER SECURITY AND SUPPLY MANAGEMENTCHAIN
13
Key Features
Readership: Supply Chain Managers (including logistics, procurement, operations managers in all industries and sectors globally) and Supply Chain Management professors (for advanced undergraduate and graduate courses in Supply Chain Management, Operations Management, Logistics and Procurement).
236pp Jun 2021 978-981-123-156-8 US$88 £75
• Latest research and development in defending cyber space
WORLD SCIENTIFICFor more information, visit: www.worldscientific.com
• This book describes and presents the best practises in cybersecurity
CYBER
Readership: As a handbook, this volume aims to provide a reference for the body of knowledge that has been developed against cybersecurity attacks. It is primarily aimed at experts and governments, corporations, security firms, and individuals planning for cyber security of the future.
Key Features
FINANCIAL MANAGEMENT IN THE DIGITAL ECONOMY
World Scientific Series in Health Investment and Financing - Vol 4 HEALTH MICROINSURANCE Implementing Universal Health Coverage in the Informal Sector by David M Dror (Micro Insurance Academy, India) This book is the first and only study on implementing Universal Health Coverage in poor, rural and informal settings, with endto-end guidance for rolling out a demanddriven and needs-based health insurance model. The chapters are comprehensive, covering topics such as data collection and analysis for contextual risk assessment, the design of suitable benefits packages, how to price microinsurance, insurance education for illiterate or innumerate populations, the setting up of governance bodies and training staff for key roles, and information management.
CRYPTOGRAPHY IN SOCIETY
Key Features
An Application-Oriented Mathematical byIntroduction
•
•
Key Features
288pp Jan 2021 978-981-122-615-1 US$88 £75
384pp Apr 2020 978-981-120-804-1 US$98 £85
Readership: Undergraduate and graduate students of health economics and finance, microinsurance businesses and practitioners.
Computer Science Catalogue 2022 14 Data Analytics / Big Data
INTRODUCTION TO CYBER
Readership: University professors and students at undergraduate, graduate, and PhD levels, as well as industry practitioners and those who wish to start a career in cryptography.
World Scientific Series on Financial Data Analytics - Vol 1 RISK ANALYTICS From Concept to Deployment by Edward H K Ng (Singapore Management University, Singapore)
Readership: The book’s target readers are managers working in transportation company, and officials in transportation departments, researchers in the field of transportation technology and application, and teachers and students interested in transportation.
• This book also provides insights from a Singaporean perspective such that the information presented will be relevant to local practitioners and policymakers • It will focus largely on regional examples of cyber threats so that it provides an Asian perspective to the growing issue
Readership: Students, researchers and practitioners and law enforcement agencies examining the field of forensic cyberpsychology and cyber-security; Law enforcement agencies such as the Ministry of Home Affairs (MHA), Ministry of Communications and Information (MCI), Ministry of Defence (MINDEF), INTERPOL, Government Technology Agency; Secondary market: Tertiary institutions such as Nanyang Technological University (NTU), National University of Singapore (NUS), Singapore University of Social Sciences (SUSS). 404pp Feb 2021 978-981-123-240-4 US$148 £130
SYSTEMS by Guanghui Zhao (Guizhou University of Finance and Economics, China & Transportation Think Tank Information Technology Research Institute of MOT, China) & Gusheng Zhu (Qujing Normal University, China)
352pp Jul 2021 978-981-123-599-3 US$108 £95
• This book encapsulates an endeavour to solicit and harness the insights of practitioners, policymakers, and subjectmatter experts in the field of cybersecurity and cyberpsychology
• The book makes it possible to automate data inputs, models and results using cost-effective R codes
Robert Schmied (Bundeswehr University Munich, CryptologyGermany)forEngineers is a study of digital security in communications systems. The book covers the cryptographical functionalities of ciphering, hash generation, digital signature generation, key management and random number generation, with a clear sense of the mathematical background on the one hand and engineers’ requirements on the other. Numerous examples computable by hand or with a small additional cost in most cases are provided inside.
Readership: Risk management professionals, bankers, compliance officers as well as modelers and students who are interested in risk analytics. 208pp Nov 2021 978-981-123-870-3 US$88 £75
•
Key Features The book is based on simple “secondary school” mathematics All the main ideas and methods of modern cryptography are strictly described Algorithms are presented in a form ready for computer implementation Numerical examples and exercises are provided for most topics
• It fills a gap in the market, by integrating theory and concepts with industry realities
456pp Feb 2020 978-981-120-852-2 US$148 £130
CRYPTOLOGY FOR ENGINEERS
This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.
FORENSIC PSYCHOLOGY
Understanding the Mind of the Cyber Deviant Perpetrators edited by Majeed Khader, Whistine Xiau Ting Chai & Loo Seng Neo (Home Team Behavioural Sciences Centre, Singapore)
Readership: This book is suitable for advanced undergraduate and graduate students, researchers and practitioners in the fields of cryptology, mathematics and engineering.
•
• This book expedites risk-based decisions so that enterprises would be competitive
THE INFORMATION
BIG DATA TRANSPORTATION
by Boris Ryabko (Russian Academy of Sciences, Russia & Novosibirsk State University, Russia) & Andrey Fionov (Siberian State University of Telecommunications and Information Sciences (SibSUTIS), Russia)
• This book is relatively unique in focusing upon the nature of the record. It builds a central theory of the scaffolding of data structures which explains how data is constitutive of society
• Structured and systematic introduction to technologies in artificial intelligence (AI), data and blockchain
Key Features
Readership: Undergraduate, post-graduate, academics, and professionals specialising in information systems, information management, and data science. 300pp Sep 2021 978-981-123-724-9 US$118 £105
Readership: Students and professionals from quantitatively-oriented fields such as mathematics, computer science, finance, economics, banking, and supply chain management. 450pp Aug 2021 978-981-122-152-1(pbk) US$58 £50 978-981-122-151-4 US$128 £115
Singapore University of Social SciencesWorld Scientific Future Economy Series - Vol 3 ARTIFICIAL INTELLIGENCE, DATA AND BLOCKCHAIN IN A DIGITAL ECONOMY (1st Edition) by Infocomm Media Development Authority edited by David Kuo Chuen Lee (Singapore University of Social Sciences, Singapore)
WORLD SCIENTIFICFor more information, visit: www.worldscientific.com THE
Mathematics, Technology, and Economics by Alexander Lipton (Sila Money, USA & Hebrew University of Jerusalem, Israel) & Adrien Treccani (Metaco, Switzerland)
Readership: Scholars, researchers and practitioners involved in blockchain technologies and cryptocurrencies. 296pp Sep 2020 978-981-120-526-2 US$98 £85
CRYPTOCURRENCIESAPPLICATIONSTECHNOLOGIES,AND Current Practice and Future Trends edited by Sam Goundar (Victoria University of Wellington, New Zealand)
Singapore University of Social SciencesWorld Scientific Future Economy Series - Vol 4 BLOCKCHAIN AND SMART CONTRACTS Design Thinking and Programming for byFinTech Swee Won Lo (Singapore University of Social Sciences, Singapore), Yu Wang (Singapore University of Social Sciences, Singapore) & David Kuo Chuen Lee (Singapore University of Social Sciences, Singapore)
Key Features
DATA AND SOCIETY by Paul Beynon-Davies (Cardiff University, UK)
Challenges and Opportunities edited by Sam Goundar (British University Vietnam, Vietnam), G Suseendran (Vels Institute of Science, Technology & Advanced Studies, India) & R Anandan (Vels Institute of Science, Technology & Advanced Studies, India)
• Analysis of technology roadmap and application to the Singapore’s digitalisation journey
• The contributors are mostly academics and practitioners who write about their research and experiences
• It offers better explanations of the role data structures play in a wide range of domains
• Various hands-on sections on Bitcoin, smart contract and multi-chain to allow the readers to better understand the conceptual framework through programming and provide them with practical experiences in blockchain
BLOCKCHAIN
Readership: Advanced undergraduate, graduate and post-graduate students, practitioners, and researchers in the field of Finance/Fintech/ IT/Business/Economics/Marketing. 380pp Jan 2021 978-981-122-486-7(pbk) US$48 £40 978-981-122-368-6 US$108 £95
Key Features
• Insightful analysis of services and digital economy as well as technology convergence
Readership: Graduate, postgraduate and executive students, professionals and policy makers with an interest in technology and its impact. 216pp Jul 2020 978-981-121-994-8(pbk) US$58 £50 978-981-121-895-8 US$138 £120
• An in-depth coverage of blockchain and smart contract design thinking and how to design a solution
Key Features • This book has a diverse range of authors writing on different aspects of how Blockchain and Artificial Intelligence is converging and the impacts of these developments. It aims to be a comprehensive reference guide to the topic
• Elaboration of consensus, cryptography and multi-chain to shed light on the blockchain design and architecture
BLOCKCHAIN AND DISTRIBUTED LEDGERS
Readership: Academics, researchers, students and practitioners involved in artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, safety-critical systems, standardization and certification digital forensics. 360pp Apr 2022 978-981-122-506-2 US$118 £105
15 CONVERGENCE OF ARTIFICIAL INTELLIGENCE AND TECHNOLOGIESBLOCKCHAIN
“At last — if you want to truly understand distributed ledger technology and its implications for payments, here finally is an authoritative and accessible reference book. No polemics, breathless praise, or impenetrable prose — the authors impartially explain how DLT works and how it can be used to upgrade our outdated payment systems. Along the way, the authors delight the reader with fascinating historical details and many practical applications. This book has instantly become the definitive source.” Prof. Darrell Duffie, The Adams Distinguished Professor of Management and Professor of Finance, Stanford University
Key Features • A comprehensive reference guide covering different aspects of blockchains and cryptocurrencies • Contributed by a diverse range of authors from both academia and professional fields
APPLIED HEALTH CARE ANALYTICS
Computer Science Catalogue 2022 16 Computational, Numerical and Mathematical Methods in Sciences and Engineering - Vol 2 NUMERICAL SOLUTION OF THE SCHRÖDINGER EQUATION Numerical Methods for Problems with Periodic or Oscillating bySolution
From Quantum Information to Bio-Informatics Proceedings of Quantum Bio-Informatics 2014 The QBIC Workshop 2014 Tokyo University of Science, Japan, 23 – 25 October 2014 edited by Luigi Accardi (Universitàdi Roma “Tor Vergata”, Italy), Wolfgang Freudenberg (Brandenburgische Technische Universität Cottbus, Germany) & Noboru Watanabe (Tokyo University of Science, Japan)
500pp Jun 2022 978-1-86094-697-4 US$166 £138
• This volume captures and presents interdisciplinary bridges in mathematics, physics, information and life sciences
Advances and Opportunities with Big Data and Analytics
• Introduction to advanced techniques like cognitive computing in the field of health care
Key Features • Heavy emphasis on direct application to healthcare through cases and more detailed instruction
Key Features
Enabling Transformative Health Care through Data Science, Machine Learning, and Cognitive Computing by Mark Albert (Loyola University, USA), Plamen Petrov (Deloitte Consulting, USA) & Rajeev Ronanki (Deloitte Consulting, USA)
• Contains unique techniques and methods using Matlab
“The book is an interesting and useful reading for scientists and students in the area of mathematicsand statistics.” zbMATH
Readership: Mathematicians, physicists, biologists and information scientists. Advanced undergraduate and graduate students studying in the same fields as mentioned scientists. All researchers interested in the study of Quantum Information and Bio-Informatics. 208pp Jul 2020 978-981-121-782-1 US$108 £95
BOOKSRECOMMENDCOLLECTIONTHESETOYOURLIBRARIAN.
QP-PQ: Quantum Probability and White Noise Analysis - Vol 31 QUANTUM INFORMATICSBIO-VI
ORTHONORMAL SERIES ESTIMATORS by Odile Pons (French National Institute for Agricultural Research (INRA), France)
Readership: Applied mathematicians, physicists, chemists, material scientists and computational scientists.
The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis. This book presents series estimators defined by projections on bases of functions, they extend the estimators of densities to mixture models, deconvolution and inverse problems, to semi-parametric and nonparametric models for regressions, hazard functions and diffusions. They are estimated in the Hilbert spaces with respect to the distribution function of the regressors and their optimal rates of convergence are proved. Their mean square errors depend on the size of the basis which is consistently estimated by cross-validation. Wavelets estimators are defined and studied in the same models.
Readership: Graduate students and researchers. 304pp Feb 2020 978-981-121-068-6 US$98 £85
Key Features
• The authors of this volume show new results in the field of Quantum Bio-Informatics
• A balanced presentation of theoretical foundations and real-world practical examples
Readership: Supplementary textbook for postgraduate students in advance analytics and cognitive computing courses in Computer Science or Artificial Intelligence/Machine Learning degrees. 300pp Jun 2022 978-981-3142-54-1 US$115 £95
East China Normal University Scientific Reports - Vol 10 CLUSTERING AND OUTLIER DETECTION FOR TRAJECTORY STREAM DATA by Jiali Mao (East China Normal University, China), Cheqing Jin (East China Normal University, China) & Aoying Zhou (East China Normal University, China)
ENRICH YOUR
Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart transportation applications.
Readership: Advanced undergraduates, graduate students, researchers, and application developers specializing in trajectory stream data clustering and distribution.
272pp Mar 2020 978-981-121-045-7 US$98 £85
Theodore E Simos (University of Peloponnese, Greece)
• Provides a unique presentation of a comparison of techniques and methods with all the well-known numerical methods in literature
LIBRARY’S
• It contains several researches for information science and life science on the basis of quantum theory
Readership: Researchers, academics, professionals and graduate students in information science, digital security, parallel computing, networking and knowledge information management.
592pp Aug 2020 978-981-121-462-2 US$198 £175
This comprehensive book presents a new approach to dynamic distributed virtual systems. Wireless grids edgeware promises new cloud to edge secure architectures with mobile security for the ‘Internet of Things’(IoT). The scope covers framworks and models for wireless grids edgeware, as well as open specifications and new applications called gridlets and wiglets.
Key Technologies, Practical Applications and Security of IoT by Hang Song (National University of Defence Technology, China)
This book provides comprehensive coverage on the concepts, frameworks, and underpinning technologies in most aspects of the Internet of Things (IoT), and presents them as the foundation on which more advanced topics, such as 5G and mMTC/M2M, Edge/cloud computing and the modalities of Tactile IoT, Industrial IoT (IIoT)/Industry 4.0, Satellite IoT, and Digital Twins (DT), could be built upon.
350pp Jun 2022 978-981-4630-80-1 US$150 Innovation£125
eTextbooks Available!
World Scientific Series in R&D Management - Vol 6 DIGITAL TRANSFORMATION Evaluating Emerging Technologies edited by Tugrul U Daim (Portland State University, USA & Higher School of Economics, Russia & Chaoyang University of Technology, Taiwan)
Readership: The book focuses on bringing all IoT related technologies together, so that students, researchers, and practitioners could use this book as a reference guide in the course of their studies and product development process. 877pp Mar 2022 978-981-124-626-5 US$268 £235
convenient for
Readership: Researchers, professionals, academics and graduate students in data base, theoretical computer science and software engineering.
Readership: Professionals, researchers, academics, and graduate students in databases, information science and parallel computing. 260pp Jul 2020 978-981-121-614-5 US$88 £75 RISK CONTROL THEORY OF ONLINE TRANSACTIONS by Changjun Jiang (Tongji University, China) & Wangyang Yu (Shaanxi Normal University, China)
This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.
17 WORLD SCIENTIFICFor more information, visit: www.worldscientific.com
Intelligent Information Systems - Vol 7 E-BUSINESS IN THE 21ST CENTURY Essential Topics and Studies (2nd Edition) by Jun Xu (Southern Cross University, Australia) & Xiangzhu Gao (Southern Cross University, Australia)
412pp Mar 2021 978-981-123-183-4 US$98 £85 East China Normal University Scientific Reports - Vol 13 LOAD BALANCE FOR DISTRIBUTED REAL-TIME COMPUTING SYSTEMS by Junhua Fang (Soochow University, China), Rong Zhang (East China Normal University, China) & Aoying Zhou (East China Normal University, China)
Digital resources made your at a lower cost.
This unique compendium introduces risk control theories technologies of online transaction processes, and applies the traditional security technologies and advanced behavior authentication methods to the trustworthy guarantee of online transaction systems. The comprehensive volume also promotes the development of trustworthy online transaction theory and technologies.
students
INTERNET OF EVERYTHING
This unique compendium covers current status and practices of e-business among organizations, their challenges and future directions. It also includes studies of different perspectives and markets of e-business.
This book is an ideal reference for managers who are responsible for digital transformation in their organizations and also serves a good starting point for researchers interested in understanding the trend. The book contains case studies that may be used by educators in MBA and Engineering and Technology Management MS programs covering digital transformation related courses.
Readership: Professionals, academics, researchers, and graduate students in databases/Information Sciences, AI, Digitl Security, Innovation/Technology and Entrepreneurship.
Readership: Managers who are responsible for digital transformation in their organizations; researches interested in the field; and educators in MBA and Engineering and Technology Management MS programs who are teaching digital transformation related courses.
260pp Jan 2022 978-981-124-116-1 US$98 £85 CLOUD TO EDGEWARE
Wireless Grid Applications, Architecture and Security for the “Internet of Things” by Lee W McKnight (Syracuse University, USA) & Tyson T Brooks (Syracuse University, USA & US Department of Defense, USA)
• Comprehensive guide for fintech professionals • Coverage of must-know concepts as well as statistical and quantitative basics in fintech
250pp Jan 2022 978-981-124-186-4(pbk) US$38 £35 978-981-124-107-9 US$78 £70
Readership: For those who want to understand patents and what they do, and for those who are interested in technological and intellectual property.
Readership: Professionals, researchers, and advanced undergraduate and graduate students in the field of financial technology, finance, financial innovation, economics, portfolio management, financial management, investment management, and financial planning. 600pp Mar 2022 978-981-124-185-7(pbk) US$78 £70 978-981-124-104-8 US$138 £120
Readership: Professionals, researchers, and advanced undergraduate and graduate students in the field of financial technology, data science, finance, financial innovation, statistics, and technology.
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Useful handbook with learning outcomes, main terms, lessons learnt and sample questions provided
•
Global Fintech Institute - World Scientific Series on Fintech - Vol 1 FOUNDATIONS FOR FINTECH edited by David Kuo Chuen Lee (Global Fintech Institute, Singapore & Singapore University of Social Sciences, Singapore), Joseph Lim (Singapore University of Social Sciences, Singapore), Kok Fai Phoon (Singapore University of Social Sciences, Singapore) & Yu Wang (Singapore University of Social Sciences, Singapore)
Key Features
Readership: Advanced undergraduate and graduate students, researchers and practitioners in the field of engineering and technology management, and engineers and managers who want to improve their engineering organization.
“Few subjects today deserve robust economic analysis more keenly than innovation and entrepreneurship, and few issues spark more vigorous debate than the role that intellectual property rights play in increasing, or impairing, economic performance and social welfare. For those interested in understanding how the modern economy works, The Case for Patents is essential reading.” Stuart Graham, Scheller College of Business @ Georgia Tech and Former Chief Economist, United States Patent and Trademark Office
edited by David Kuo Chuen Lee (Global Fintech Institute, Singapore & Singapore University of Social Sciences, Singapore), Joseph Lim Singapore University of Social Sciences, Singapore), Kok Fai Phoon (Singapore University of Social Sciences, Singapore) & Yu Wang (Singapore University of Social Sciences, Singapore)
• Easy to understand • Useful handbook with learning outcomes, main terms, lessons learnt and sample questions provided
Key Features
• Easy to understand
464pp Mar 2021 978-981-122-563-5 US$118 £105
A PERSPECTIVE ON HOLISTIC ENGINEERING MANAGEMENT Learning, Adapting and Creating Value by Robert J Aslett (3e8 Consulting, USA), John M Acken (Portland State University, USA) & Siva K Yerramilli (Synopsys Inc., USA)
• Inclusion of fundamentals in economic and finance
Key Features • Beginners’ guide to finance for fintech professionals
• Easy to understand
• Inclusion of fundamentals related to data and technology
Readership: Professionals, researchers, and advanced undergraduate and graduate students in the field of financial technology, data science, financial innovation, big data, artificial intelligence, computer network, Python programming, data structure and algorithm, and technology.
• Beginners’ guide to fintech
• Useful handbook with learning outcomes, main terms, lessons learnt and sample questions provided
THE CASE FOR PATENTS by Daniel Spulber (Northwestern University, USA)
250pp Dec 2021 978-981-123-926-7(pbk) US$38 £35 978-981-123-880-2 US$98 £85 Global Fintech Institute - World Scientific Series on Fintech - Vol 3 FINTECH FOR PROFESSIONALSFINANCE edited by David Kuo Chuen Lee (Global Fintech Institute, Singapore & Singapore University of Social Sciences, Singapore), Joseph Lim (Singapore University of Social Sciences, Singapore), Kok Fai Phoon (Singapore University of Social Sciences, Singapore) & Yu Wang (Singapore University of Social Sciences, Singapore)
In most chapters, practical examples and case studies of the concepts provided are given. As noted in the foreword by Pat Gelsinger (CEO, VMWare) and in comments from other technology leaders: Aart de Geus (Chairman and co-CEO, Synopsys, Inc.), Aicha Evans (CEO, Zoox, Inc.), William M Holt, (former Executive VP, GM, Intel, Corp.), and Amir Faintuch (Senior VP, GM, GlobalFoundries, Inc.), this book will be valuable for students of engineering management and current engineering managers.
516pp Mar 2021 978-981-122-832-2 US$138 £120
The content for this book is based on over 105 years of combined experience working in a rapidly changing industry.
Computer Science Catalogue 2022 18 World Scientific Series in R&D Management - Vol 7
Global Fintech Institute - World Scientific Series on Fintech - Vol 2 FINANCE FOR PROFESSIONALSFINTECH
Readership: Advanced graduate students, professionals and scientists in Artificial Neural Network and Machine Learning.
TECHNOLOGICAL INNOVATION Strategy and Management by Juan Vicente García Manjón (Universidad Europea Miguel de Cervantes (UEMC), Spain)
visit: www.worldscientific.com
• This book introduces a systematic study of data intelligence in education for the benefit of different stakeholders including education administrators, teachers, and learners
• Various algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. are handled using ANN methods
Key Features
Readership: Professionals, researchers, academics, and graduate students in computer engineering, neural networks, and computer maths and science. 128pp Aug 2020 978-981-122-404-1 US$58 £50
WORLD SCIENTIFIC
“The Subcritical Brain weaves together theoretical ideas from random graphs, nonlinear dynamics, prime numbers and quantum computation, to address one of the most important questions in science — how brains compute. A must read for anyone interested in theoretical studies of cortical microcircuits.” Dario Ringach, Professor of Neurobiology & Psychology, David Geffen School of Medicine University of California, Los Angeles
A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control by Yoram Baram (Technion — Israel Institute of Technology, Israel)
Key Features • This book gives a systematic and comprehensive coverage on the architectures for future Internet • The content of this book is an compilation of the latest research in computer networking undertaken by researchers all over the world progress in the world
19 For more information,
150pp Jan 2022 978-981-123-290-9 US$88 £75
Key Features
FUTURE ARCHITECTURESNETWORKAND
Practice, Challenges and Expectations of byEducation Bian Wu, Yiling Hu & Xiaoqing Gu (East China Normal University, China)
• The book contributes to our knowledge regarding how school leaders, teachers, students, and researchers can form co-partnership with data technologies to transform the education system
CORE
DESIGN IMPLEMENTATIONAND OF DATACENTER PROTOCOLS FOR CLOUD COMPUTING by Alex X Liu (Ant Financial, USA) & Ali Munir (Cornell University, USA)
East China Normal University Scientific Reports - Vol 15 ACHIEVING THROUGHEDUCATIONALGREATERIMPACTDATAINTELLIGENCE
• Expert ANN based methods showing the alternative way to handle problems compared to traditional methods
192pp Feb 2021 978-981-123-020-2 US$78 £70
Readership: Engineers and researchers specialising in communications or computer networks; Graduate students majoring in communications, computing, computer network related disciplines, and related other specialties in colleges/universities and training courses. 360pp Apr 2022 978-981-123-755-3 US$138 £120
Neural Networks
“Professor García Manjón has written a wonderfully researched and readable book that will largely demystify innovation. This book can be viewed either as a first-class documentation of the contemporary literature on innovation or as a stand-alone book that would be easy to read by non-academics. The author has also done an outstanding job with several chapters that discuss the process of innovation, the formulation of teams, and the monitoring and ongoing management of the innovation process. His attention to the professionalization of innovation through process, fully supported by some of the greatest writers on innovation and business as well as the remarkable work of the Oslo manual, means that any serious innovation professional will need this book on their bookshelf- or, more accurately, in their e-reader.” Professor Brett Trusko, President and CEO, The International Association of Innovation Professionals, Secretariat, US TAG, ISO 279 / 56000, Assistant Professor, Texas A&M University (USA), Distinguished Professor, Symbiosis Institute of Business Management (India)
Readership: Graduate students in business and technology; policy makers, research fellows and practitioners interested in the field of technological innovation management.
THE SUBCRITICAL BRAIN
This unique compendium focuses on the design and implementation of emerging transport protocols and task scheduling mechanisms to mitigate congestion in datacentre networks. Datacenters have become a critical infrastructure for hosting user-facing online services such as web search and social networking.
TECHNOLOGIES by Ju-long Lan, Yu-xiang Hu, Zhen Zhang, Yi-ming Jiang (National Digital Switching System Engineering & Technological R&D Center of China (NDSC), China), Peng Wang (Zhongyuan University of Technology of China, China) & Jiang-xing Wu (National Digital Switching System Engineering & Technological R&D Center of China (NDSC), China)
APPLIED ARTIFICIAL NEURAL METHODSNETWORKFORENGINEERSANDSCIENTISTS
Solving Algebraic Equations by Snehashish Chakraverty & Sumit Kumar Jeswal (National Institute of Technology Rourkela, India)
Readership: Professors, teachers, theoreticians, experimentalists, practitioners, advanced undergraduate students and graduate students in the following fields: Neuroscience, Medical Neurology, Mathematics, Physics, Biology, Cognition, Psychology, Information theory, Theoretical and practical coding, Computer Science, Computer Engineering, Software engineering, Hardware engineering, Virtual reality design, Machine learning theory and practice, Popular science. 300pp May 2021 978-981-123-309-8 US$98 £85
332pp Mar 2020 978-981-121-145-4 US$118 £105
Readership: Advanced undergraduate and graduate students, and researchers in the fields of education technology, education administration and learning science, as well as K-12 teachers and school principals.
250pp May 2022 978-981-120-367-1 US$98 £85 Series on Language Processing, Pattern Recognition, and Intelligent Systems - Vol 6
HANDS-ON COMPUTER VISION by Marc Pomplun (University of Massachusetts Boston, USA)
100pp Jun 2022 978-981-3232-46-4 US$68 £60
Key Features • Provides a comprehensive measurement data and statistical relationships on construction rules of the transportation networks in nature • Discusses the evolutionary ways of plants and animals towards the optimal liquid transport systems
edited by Réjean Plamondon (Polytechnique Montréal, Canada), Angelo Marcelli (Universitàdi Salerno, Italy) & Miguel Ángel Ferrer (Universidad de Las Palmas de Gran Canaria, Spain)
Readership: Students and researchers in pattern recognition and artificial intelligence, and the general public.
US$78 £65 978-981-4571-96-8 US$129 £107
Many problems in science, engineering and medicine follow an inverse approach to problem by observations the output data to calculate or predict the inputs should be to generated the responses: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field. Recent advance in deep learning-based algorithms has emerged as a novel paradigm for image processing.
ANDE-SECURITY,APPLICATIONSPRINCIPLELOGNORMALITYANDITSINE-LEARNINGE-HEALTH
ADVANCES IN PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE edited by Nicola Nobile), Marleah Blom & Ching Y Suen (Concordia University, Canada)
QUANTUM MECHANICS AND BAYESIAN MACHINES by George Chapline (Lawrence Livermore National Laboratory, USA)
• Gives a novel insight into the evolutionary optimization problem
Readership: Researchers, academics, professionals and graduate students in pattern recognition/image analysis, machine learning, quantum mechanics and general applied maths.
Series in Mathematical Biology and Medicine - Vol 10
This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial Chaptersintelligence.include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
The proposed book will not only teach readers the fundamental methods and concepts in computer vision, but it will also show them in detail how to implement the most important algorithms efficiently.
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer’s and Parkinson’s diseases and aging effects in speech and handwriting.
NATURE by Natalya Kizilova (Kharkov National University, Ukraine)
Readership: Professionals, academics, researchers, and graduate students in pattern recognition, artificial intelligence, biomedical engineering and mathematical modeling.
Computer Science Catalogue 2022 20 Pattern Recognition / Image Analysis / Computer Vision
Readership: Academics, researchers, and graduate students in mathematical biology, mathematical modeling, fluid mechanics, biomedical engineering, pattern recognition/image analysis. 200pp Jun 2022 978-981-283-873-5 US$106 £88
448pp Dec 2020 978-981-122-682-3 US$158 £140
Readership: Undergraduates, graduates, and professionals studying/ dealing with machine perception/computer vision, pattern recognition/ image analysis, software engineering/programming, neural networks, robotics & automated systems. 650pp Jun 2022 978-981-4571-97-5(pbk)
This book compiles the state-of-the-art approaches for solving inverse problems by deep learning; from basic concepts to deep learning and algorithms in image processing. It serves as an introduction to researchers working in image processing, and pattern recognition as well as students undertaking research in signal processing and AI.
Readership: Advanced undergraduate and graduate students; researchers in the field of Image Processing and AI.
240pp Jan 2022 978-981-123-900-7 US$98 £85
DEEP LEARNING FOR IMAGE RECONSTRUCTION by Markus Haltmeier, Stephan Antholzer & Johannes Schwab (University of Innsbruck, Austria)
Series in Machine Perception and Artificial Intelligence - Vol 88 THE
OPTIMAL TRANSPORT NETWORKS IN
This compendium brings together the fields of Quantum Computing, Machine Learning, and Neuromorphic Computing. It provides an elementary introduction for students and researchers interested in quantum or neuromorphic computing to the basics of machine learning and the possibilities for using quantum devices for pattern recognition and Bayesian decision tree problems.
268pp Nov 2020 978-981-120-323-7 US$98 £85
WORLD SCIENTIFIC
Key Features
• There are currently no books, if any, in the market that address the development of multifunctional structures using Additive Manufacturing
• The research, proof-of-concepts, and developments presented in this book not only alert the manufacturing community about recent research and development in this field, but also showcase the tools and methods which require to be integrated into future computer aided engineering tools, robotics, and Industry 4.0 solutions
Readership: Researchers, professionals, academics and graduate students in pattern recognition/image analysis, machine perception/computer vision, and artificial intelligence.
Series in Machine Perception and Artificial Intelligence - Vol 89
Readership: Individuals working with Additive Manufacturing in industry, government, and academia. Individuals working with design and materials who are interested in Additive Manufacturing; Universities that offer graduates course in robotics and automation, HCI in manufacturing, autonomous systems, virtual/augmented/mixed reality manufacturing, Industry 4.0. 1000pp Mar 2021 978-981-122-278-8(Set) US$980 £860
Readership: Readers and practitioners in the fields of algebraic geometry, control theory, and robotics. 550pp Nov 2021 978-1-80061-045-3 US$148 £130
World Scientific Series in Advanced Manufacturing MANUFACTURING IN THE ERA OF 4TH INDUSTRIAL REVOLUTION
US$188 £165
Readership: Advanced undergraduate and graduate students in computer science, control engineering, automotive engineering, mechanical engineering, and electronic engineering; researchers and practitioners in automotive and automation industries. 404pp Feb 2021 978-981-4271-63-9 US$88 £73
300pp Feb 2022 978-981-3224-05-6
Robotics NEW FOUNDATION OF ARTIFICIAL INTELLIGENCE
The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study the whole processing chain of layout analysis, handwriting recognition, and retrieval of historical manuscripts. This description is complemented with an overview of other related research projects, in order to convey the current state of the art in the field and outline future trends.
This compendium provides a hands-on description of random forests. The text starts with a consistent introduction of general methods to create, train, and fuse ensembles of decision trees. Instead of limiting the explanation to the general-purpose layout of traditional random forests, this book outlines specifications during tree creation and training, that are especially well suited to analyze structured data such as images.
“For graduate students pursuing PhDs and professionals doing research and development in the pattern recognition and computer vision field, this is a book you shouldn’t miss. Overall, this book has a rich set of techniques with a wide range of applications for pattern recognition and computer vision. This book will be useful to electrical engineering and computer science graduate students and researchers working in the field of machine vision.” Computing Reviews
Theory and Applications for Remote Sensing by Ronny Hänsch (Technische Universität Berlin, Germany)
by Ming Xie (Nanyang Technological University, Singapore), Hui Chen (Tongji University, China) & Zhencheng Hu (Kumamoto University, Japan)
FUTUREOFRETRIEVALRECOGNITION,DOCUMENTHISTORICALHANDWRITTENANALYSIS,AND—STATETHEARTANDTRENDS
Readership: Researchers, professionals, and academics in pattern recognition, image analysis, machine perception and computer vision.
This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Selfcontained and unified in presentation, the book explains in details the fundamental solutions of vehicle’s perception, vehicle’s decision-making, and vehicle’s actiontaking in a pedagogic order.
404pp Apr 2020 978-981-121-106-5
Key Features
• Showcases efficient computational tools to solve a wide variety of problems arising in robotics and control
• Demonstrates the versatility of polynomial techniques, which may lead to new and interesting research fields
Readership: Graduate students, academics, practitioners, researchers, computer scientists, electrical and medical engineers.
A World Scientific Reference (In 3 Volumes) Volume 1: Recent Advances in Additive Manufacturing Volume 2: Recent Advances in Industrial Robotics Volume 3: Augmented, Virtual and Mixed Reality Applications in Advanced Manufacturing edited by Hugh Bruck (University of Maryland, College Park, USA), Yong Chen (University of Southern California, USA), Satyandra K Gupta (University of Southern California, USA), Venkat N Krovi (Clemson University, USA), Craig Schlenoff (National Institute of Standards and Technology, USA), Monica Bordegoni (Politecnico di Milano, Italy) & James Ritchie (Heriot-Watt University, UK)
www.worldscientific.com
HANDBOOK OF PATTERN RECOGNITION AND VISIONCOMPUTER (6th Edition)
Series in Computer Vision HANDBOOK OF RANDOM FORESTS
Editor-in-chief: Satyandra K Gupta (University of Southern California, USA)
edited by C H Chen (University of Massachusetts Dartmouth, USA)
Review of the 5th Edition:
ALGEBRAIC GEOMETRY FOR ROBOTICS AND CONTROL THEORY by Laura Menini (University of Rome Tor Vergata, Italy), Corrado Possieri (IASI-CNR, Italy) & Antonio Tornambè (University of Rome Tor Vergata, Italy)
edited by Andreas Fischer, Marcus Liwicki & Rolf Ingold (University of Fribourg, Switzerland)
21 For more information, visit:
US$128 £113
Computer Science Catalogue 2022
Readership: Medical students and researchers, Biophysicists, Biochemists, Computer scientists, Biomedical engineers, Chemical Engineers, Applied mathematicians, Numerical analysts.
172pp Jul 2020 978-981-121-815-6(pbk) US$28 £25 978-981-121-863-7 US$58 £50
22
Principal outputs from the ODE/PDE models are the levels of vaccinations and infections. For the latter, the efficacy of the vaccine is a parameter that can be varied in a computer-based analysis of a vaccine therapy.
The coding of the models is in R, a quality, open-source scientific computing system, and can be executed on modest computers. The R routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. The routines can then be applied to variations and extensions of the ODE/PDE models, such as changes in the parameters and the form of the model equations.
Readership: Suitable as a text or as supplementary reading for senior and graduate students in physics, mathematics, and engineering. It is also an important reference book for researchers and engineers working in the academic and engineering fields of acoustics, vibration, transducers, robotic, intelligent machines and biomedical engineering. 380pp Aug 2021 978-981-123-500-9 US$138 £120
Readership: General Public, undergraduate math teachers and students in mathematics, computer programming, quantum mechanics, sports or the advertising business.
SLIDING – ROLLING CONTACT AND MANIPULATIONIN-HAND by Lei Cui (Curtin University, Australia) & Jian S Dai (King’s College London, UK)
This interdisciplinary book also provides a physical basis for the study of some frontier subject areas, such as mCUTs for biomedical imaging, mUMRs for biochemical sensing and monitoring including micro-nano plate, micronano beam, nanowire, FBAR, LAW and SAW ultrasonic resonators. This book is also an important reference for modeling and optimal design of these micro-nano devices and systems
Readership: Undergraduate students, graduate students, engineers, and researchers in the field of biorobotics. Mar 2020
Two models for the spread and control of a virus are detailed in this book: The Lung/ Respiratory System Model (LSM) and the TheModel.(Susceptible-Vaccinated-Infected-Recovered)SVIRLSMgivesthespatiotemporaldistribution
This book applies the moving-frame method, developed extensively by Elie Cartan, and the adjoint approach, conceived by Ernesto Cesàro, to study the kinematics of two surfaces subject to rolling contact and sliding – rolling contact to demonstrate the applications in robotic in-hand manipulation.
of four viral-related proteins: virus population density along the lung air passage, host cell primary infection protein (viral genetic material (VGM)) concentration, host cell secondary infection protein (VGM) concentration, and air stream virion population density.
Theory and Applications by Li-Feng Ge (Anhui University, China)
224pp
MATHEMATICAL MODELING OF VIRUS INFECTION ODE/PDE Analysis in R by William E Schiesser (Lehigh University, USA)
The model is executed for a single inhalation, and a series of inhalation/ exhalation cycles. For the latter, the progression of the viral infection into the lung is a principal result.
SOLID ACOUSTIC WAVES AND VIBRATION
Key Features • A detailed discussion of the mathematical model equations, including all of the equations, initial condition and parameters • Documented, tested R routines that implement the mathematical model
180pp Apr 2021 978-981-123-663-1 US$78 £70
Problem Solving in Mathematics and Beyond - Vol 17 THE FATE SCHRODINGER’SOF CAT Using Math and Computers to Explore the Counterintuitive by James D Stein (California State University Long Beach, USA)
978-1-78634-842-5 US$88 £75 Software Engineering
This book explores fascinating and controversial questions involving prediction, decisionmaking, and statistical analysis in a number of diverse areas, ranging from whether there is such a thing as a “hot hand” in shooting a basketball, to how we can successfully predict, more than half the time, the decay of the radioactive atom that determines the fate of Schrodinger’s Cat.
FROM FRACTALS AND CELLULAR AUTOMATA TO BIOLOGY Information as Order Hidden Within byChanceAlberto Strumia (Istituto Nazionale di Alta Matematica “Francesco Severi”, Italy)
The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating ordered structure models (2D and 3D) like regular geometric shapes, complex shapes like fractals and cellular automata, and biological systems as the organs of a living body.
The SVIR is first formulated as a system of ordinary differential equations (ODEs) in time, then extended to a system of PDEs to account for spatial effects (spatiotemporal modeling).
Readership: Mathematicians, Physicists, Biologists, Bioengineers, Computer Programmers, Science philosophers (of all graduate level). 328pp Aug 2020 978-981-121-715-9 US$138 £120
EXPLORATIONS IN NUMERICAL ANALYSIS
Key Features * Real access to remote experiments and test the technology
Python Edition by James V Lambers (The University of Southern Mississippi, USA), Amber Sumner Mooney (William Carey University, USA) & Vivian A Montiforte (The University of Southern Mississippi, USA)
BUILDING SECURE AND HIGHPERFORMANCE SOFTWARE SYSTEMS by Issa Traore (University of Victoria, Canada) & Ahmed Awad E Ahmed (University of Victoria, Canada)
This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra.
Key Features
480pp Oct 2022 978-981-124-057-7 US$148 £130
• It will be useful for engineers, teachers and researchers that are working on new approaches to increase the dependability of their mission-critical systems
• Detailed description of remote laboratories and how to use them in the classroom
MANAGING INFORMATION TECHNOLOGY
In a remote laboratory, the user performs a real experiment without being in front of the equipment, performing remote experiments mediated by the Internet. Remote Laboratories: Empowering STEM Education with Technology is the first book to cover this radical redistribution of experimentation capacity as a whole.
WORLD SCIENTIFIC
REMOTE LABORATORIES
Readership: Researchers, teachers or students in faculties of engineering, who wish to learn more about remote laboratories and how to conduct and design remote experiments. 268pp Mar 2021 978-1-78634-942-2 US$88 £75 www.worldscientific.com/page/ecatalogues
more information, visit: www.worldscientific.com
Instructor’s resources are provided for free to instructors who adopt the book as textbook. Please send your request to sales@wspc.com.
Key Features • This is the first comprehensive handbook on software aging and rejuvenation that covers basic concepts, data driven approaches, models and applications
REQUIREMENTS MODELING AND CODING
Empowering STEM Education with byTechnology Javier García-Zubía (University of Deusto, Spain)
23 For
424pp May 2020 978-981-121-456-1 US$178 £155
472pp Dec 2020 978-1-78634-887-6(pbk) US$78 £70 978-1-78634-882-1 US$138 £120
PROJECTS Building a Body of Knowledge in IT Project Management edited by Srinath Perera (Western Sydney University, Australia), Robert Eadie (Ulster University, UK)
This book aims to initiate the development of the specialist ‘Body of Knowledge in IT Project Management’, also learning from relevant experiences from other sectors such as construction, aerospace and health among others, where project management is well established and successfully practised.
Readership: Undergraduates, research institutes, IT project management practitioners and professional bodies in project management.
692pp Jan 2021 978-981-122-934-3(pbk) US$68 £60 978-981-122-793-6 US$148 £130
HANDBOOK OF SOFTWARE AGING AND REJUVENATION
Domain-Specific Bodies of Knowledge in Project Management
• Collects a large body of scarce knowledge and experiences on “software performance modeling”
• Contains state-of-the-art pointers to the literature on the subject
An Object-Oriented Approach by Liping Liu (The University of Akron, USA)
• Treating software security from a quality assurance perspective and integrating security concerns in the entire software lifecycle
Readership: This book will be useful for engineers, teachers, and researchers that are working on new approaches to increase the dependability of their mission-critical systems.
This book serves as a text for a capstone course on Systems Analysis and Design in Information Systems programs. It conceptualizes business objects and functions, develops business models and software architectures, and enriches the models and the architectures by storyboarding use cases along with user interface designs.
Readership: This book should be a primary text for Systems Analysis and Design courses, C# Programming courses, and Software Engineering courses at advanced undergraduate and graduate levels. It may also serve as reading for professional systems analysts and developers who have trained in structured development and wish to learn object-oriented techniques.
Readership: Researchers, academics, postgraduate students in software engineering and networking. 200pp Nov 2022 978-981-283-599-4 US$106 £88
• Complete view of the remote experimentation
Readership: Advanced undergraduate or beginning graduate students in mathematics for courses of numerical analysis, numerical linear algebra, numerical methods for differential equations, etc. Also good for researchers in science and engineering fields who require a working knowledge of numerical methods.
Fundamentals, Methods, Applications, and Future Directions edited by Tadashi Dohi (Hiroshima University, Japan), Kishor Trivedi (Duke University, USA) & Alberto Avritzer (eSulabSolutions, Inc., USA)
Readership: Graduate students and researchers interested in the interface between set theory and computability. 388pp Oct 2020 978-981-3228-22-1 US$128 £115
• The aim is to expose concepts underpinning fractal analysis for a common scientific community from different branches
Readership: Graduate students, researchers, and professionals in Mathematics and Computer Science. 380pp Sep 2021 978-981-123-647-1 US$118 £105
• For theorists and applied researchers from a wide range of scientific fields, including pure mathematics, physics, statistics, time series, medicine, and econo-financial sciences
This book champions a fundamental principle of science — objective reproducibility of evidence independently by others. From a companion web site, readers can download many easy-to-understand Python programs and real-world data. Independently, readers can draw for themselves the figures in the book. Even so, readers are encouraged to run the statistical tests described as examples to verify their own results against what the book claims.
500pp Feb 2022 978-981-3237-39-1 US$178 £157
Key Features
• Unique approach of connecting computability and set theory as well as algebra, analysis, and topology
PROOF AND COMPUTATION II
Readership: Graduate students and researchers in geometric topology, manifolds and cellcomplexes, scientists and engineers who want a concrete introduction to high dimensional construction and visualization.
450pp Apr 2022 978-981-123-830-7 US$148 £130
Key Features
Key Features
• New mathematics of Borel equivalence, Ramsey sets, Ramsey spaces from the annual Southeastern Logic Symposium put in context
THINKING MATTERS Critical Thinking as Creative Problem bySolving Gary R Mar (Stony Brook University, USA)
edited by Douglas Cenzer (University of Florida, USA), Christopher Porter (Drake University, USA) & Jindrich Zapletal (University of Florida, USA)
FRACTAL ANALYSIS Basic Concepts and Applications by Carlo Cattani (University of Tuscia, Italy), Anouar Ben Mabrouk (University of Monastir, Tunisia & University of Kairouan, Tunisia & University of Tabuk, Saudi Arabia) & Sabrine Arfaoui (University of Monastir, Tunisia & University of Tabuk, Saudi Arabia)
Key Features
Advanced undergraduate students will gain a clear idea on what fractal analysis is, that will guide them to decide their course on their future scientific research areas. It is applicable to the industrial and professional sectors such as ready-made constructions, town planning, such as construction and the development of plans for urban areas (fractal cities); for economists to develop good forecasting models and for researchers in nanofractal materials, geology, geosciences, biology, among others.
Readership: Young researchers at master’s level in sciences; researchers in PhD studies in pure and applied mathematical/physical sciences; and researchers at advanced levels are provided the necessary tools that allow them to understand and adapt fractal analysis to their needs such as supervision and development of research projects.
• Higher dimensions (beyond knotting of surfaces in 4-space) is considered
• The book is beautifully laid out in the Tufte format with margins for quotations, illustrations, and creative doodling
Series on Advances in Mathematics for Applied Sciences
ALGORITHMIC FINANCE A Companion to Data Science by Hian Ann, Christopher Ting (Hiroshima University, Japan)
• Provides a step-by-step guide to the understanding of fractal analysis and its applications in other fields
• Prominent contributors and institutions: such as George Barmpalias (Chinese Acad. Sci. and U. Wellington, NZ), Andreas Blass (Fellow of AMS, U. Michigan), Andy Lewis-Pye (London School of Economics)
From Proof Theory and Univalent Mathematics to Program Extraction and editedVerificationbyKlaus Mainzer (Technische Universität München, Germany), Peter Schuster (Università degli Studi di Verona, Italy) & Helmut Schwichtenberg (LudwigMaximilians-Universität München, Germany)
Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of finance and quantitative finance, data scientists who are learning a new application domain.
STRUCTURE
• Provides a self-contained coverage of mathematical concepts as well as their proofs and does not require a strong previous background to be understood especially for postgraduate levels
Why is data science a branch of science? Is data science just a catchy rebranding of statistics?
• The book gathers recent contributions of distinguished experts
• It makes emerging fields accessible to a wider audience, it will appeal to a broad readership with diverse backgrounds in Mathematics, Computer Science, and Philosophy
250pp Jan 2022 978-981-123-943-4 US$98 £85 Series on Knots and Everything HIGH DIMENSIONAL KNOTTING An Illustrated Guide by Dennis Roseman (University of Iowa, USA)
• Accessibility to non-specialists with extensive computer graphics illustrations
• Emphasis is on concrete examples and constructions
• The book is punctuated with puzzles and exercises that advance the argument of the text by giving the student first-hand experience with what is discussed
Key Features
Computer Science Catalogue 2022 24 Theoretical Computer Science
Readership: Undergraduates in Logical and Critical Thinking courses, general public with interests in Logical Puzzles. Mathematical Magic, Logic Games, Creative Problem Solving, Computational Thinking. 190pp Aug 2021 978-981-121-624-4(pbk) US$48 £40 978-981-121-684-8 US$88 £75
SETCOMPUTABILITYRANDOMNESSANDINANDTHEORY
• It fills a gap between (under-)graduate level textbooks and state-ofthe-art research papers
Query complexity addresses issues like the number of calls to a black box routine, the number of queries to a data structure or the number of steps made by a parallel processor. It has immense applications, and not surprisingly a large number of papers have been written on it. Yet, currently there is no book that is entirely devoted to this subject. We fill this gap, and gather not only many valuable articles into a single book, but also organize knowledge, explain some key results, and give presentable outlines.
444pp Mar 2020 978-981-120-006-9 US$148 £130
Key Features • Features articles by luminaries like Paul Davies, Stephen Wolfram, John Casti, etc.
BASIC CONCEPTS IN ALGORITHMS by Shmuel Tomi Klein (Bar Ilan University, Israel)
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Readership: Thought-leaders, executives, industry strategists, research scientists, graduate students, advanced undergraduate students, policy-makers, government regulators, corporate practitioners, and entrepreneurs in the areas of computer science, blockchain, machine learning, quantum information science, and theoretical physics.
Between Science and Economics - Vol 2
• Contains personal accounts of his life from his family members
This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms.
• Based on many years of teaching experience with thousands of students
Readership: Advanced undergraduate; 2nd year of Computer Science, engineering, data science. The book is intended for a broad audience acquainting the reader with the theoretical sides of computer programming, for students studying computer related fields.
• Easy to read, compact, yet covering many important topics in the theory of algorithms
QUANTUM COMPUTING Physics, Blockchains, and Deep Learning Smart Networks by Melanie Swan (Purdue University, USA), Renato P dos Santos (Lutheran University of Brazil, Brazil) & Frank Witte (University College London, UK)
Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers.
Readership: Professionals, academics, researchers and graduate students in theoretical computer science and big data.
This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms and methods combining basic programming constructs as building blocks and their usefulness in the derivation of algorithms. Its coverage includes the algorithms’ design process and an analysis of their performance. It is primarily intended as a textbook for the teaching of Algorithms for second year undergraduate students in study fields related to computers and programming.
25 For more information,
200pp Nov 2022 978-981-3223-20-2 US$88 £77
UNRAVELLING COMPLEXITY
Key Features
The Life and Work of Gregory Chaitin edited by Shyam Wuppuluri (R N Podar Institute, India) & Francisco Antonio Doria (Universidade Federal do Rio de Janeiro, Brazil)
ALGORITHMS FOR BIG DATA by Moran Feldman (The Open University of Israel, Israel)
264pp Jul 2020 978-981-121-294-9 US$98 £85
460pp Aug 2020 978-981-120-473-9 US$148 £130 East China Normal University Scientific Reports - Vol 12 BIOLOGICAL LANGUAGE MODEL Theory and Application by Qiwen Dong (East China Normal University, China), Xiaoyang Jing (East China Normal University, China), Aoying Zhou (East China Normal University, China) & Xiuzhen Hu (East China Normal University, China)
WORLD SCIENTIFIC
365pp Aug 2021 978-981-123-852-9(pbk) US$58 £50 978-981-123-758-4 US$108 £95
Readership: Students, professors and researchers in mathematics, computer science, biology, philosophy and physics. And readers who are interested in the scientific works and biographical accounts of Gregory Chaitin.
“It is an intellectual tour de force that bridges the borders between modern physics and computing and illustrates how obscure quantummechanical phenomena such as superposition and entanglement can ultimately result in computing applications that will severely impact our daily life in the not so distant future. I highly recommend this book for those who want to learn more about the wondrous world of quantum computing and its transformational power through smart networks, blockchain, advanced cryptography, machine learning and artificial intelligence.” Horst Treiblmaier, Full Professor, Department Head, Modul University Vienna, Department of International Management
400pp Apr 2020 978-1-78634-820-3 US$138 £120
Readership: Researchers, academics, professionals and graduate students in theoretical computer science.
QUERY COMPLEXITY by Robin Kothari (Microsoft Quantum, USA), Troy Lee (Nanyang Technological University, Singapore), Ilan Newman (University of Haifa, Israel) & Mario Szegedy (Rutgers University, USA)
Readership: Graduate and research level students in the cross disciplines of bioinformatics/computational biology.
Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This required the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.
“The book is a good introductory textbook for beginners who want to learn design and analysis of algorithms from scratch. It covers all the fundamental design paradigms with ample examples and exercises, and begins at a reasonable level. For beginners, it is also easy to navigate through the book.” Mathematical Reviews Clippings
This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.
Readership: The monograph is a valuable reference for graduate and postgraduate researchers who seek to solve transportation system and network optimization problems using Artificial Intelligence techniques. 288pp Sep 2020 978-981-3272-80-4 US$98 £85
Readership: Senior undergraduates, graduate students and professionals in software development. Readers in advanced courses or research in science and engineering. 767pp Dec 2021 978-981-123-864-2 US$188 £165
Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less wellunderstood, as of peak interest, and as in need of three-dimensional modeling as it functions in real-life, as the Quantumbrain.computing has emerged as a platform suited to contemporary data processing needs, surpassing classical computing and supercomputing. This book shows how quantum computing’s increased capacity to model classical data with quantum states and the ability to run more complex permutations of problems can be employed in neuroscience applications such as neural signaling and synaptic integration. State-of-the-art methods are discussed such as quantum machine learning, tensor networks, Born machines, quantum kernel learning, wavelet transforms, Rydberg atom arrays, ion traps, boson sampling, graphtheoretic models, quantum optical machine learning, neuromorphic architectures, spiking neural networks, quantum teleportation, and quantum walks.
Readership: Thought-leaders, executives, industry strategists, research scientists, graduate students, advanced undergraduate students, policy-makers, research funding agencies, private research institutions, government regulators, investors, corporate managers, purchasing agents, and entrepreneurs in the areas of computer science, quantum computing, information theory, neuroscience, and physics. 512pp Feb 2022 978-1-80061-061-3 US$148 £130
Lecture Notes Series on Computing ALGORITHMS Design Techniques and Analysis (2nd Edition) by M H Alsuwaiyel (King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia)
Review of the Revised Edition:
Key Feature • No other book is available in transportation engineering communities that comprehensively reviews optimization methods for highway location selection and alignment design with emphasis on an AI-based HAO model and its realworld applications
Min-Wook Kang (University of South Alabama, USA) & Paul Schonfeld (University of Maryland, College Park, USA)
ARTIFICIAL INTELLIGENCE IN HIGHWAY LOCATION AND ALIGNMENT OPTIMIZATION
Computer Science Catalogue 2022 26 Between Science and Economics - Vol 4
QUANTUM COMPUTING FOR THE BRAIN by Melanie Swan (University College London, UK), Renato P dos Santos (Lutheran University of Brazil, Brazil), Mikhail Lebedev (National Research University Higher School of Economics, Russia) & Frank Witte (University College London, UK)
Applications of Genetic Algorithms in Searching, Evaluating, and Optimizing Highway Location and byAlignments
This book presents a design thinking approach to problem solving in computing — by first using algorithmic analysis to study the specifications of the problem, before mapping the problem on to data structures, then on to the situatable algorithms. Each technique or strategy is covered in its own chapter supported by numerous examples of problems and their algorithms. The new edition includes a comprehensive chapter on parallel algorithms, and many enhancements.
Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.Quantum Computing for the Brain argues that the brain is the killer application for quantum computing. No other system is as complex, as multidimensional in time and space, as dynamic, as less well-understood, as of peak interest, and as in need of threedimensional modeling as it functions in real-life, as the brain.
Quantum Computing for the Brain is a comprehensive one-stop resource for an improved understanding of the converging research frontiers of foundational physics, information theory, and neuroscience in the context of quantum computing.
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A bimonthly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/ layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.
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Editor-in-Chief: A Adamatzky (University of the West of England) Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered include: design and analysis of parallel and distributed algorithms theory of parallel computation parallel programming languages parallel programming environments parallel architectures and VLSI circuits unconventional computational problems (e.g., time-varying variables, interacting variables, time-varying complexity) computational paradigms (e.g., biomolecular computing, chemical computing, quantum computing) computing in nature (e.g., photosynthesis, plant respiration, bacterial communication) nature-inspired algorithms (e.g., genetic algorithms, neural networks, swarm intelligence) simulation Image-guided Diagnosis and Therapy Nano-scale and micro-scale Interventions Telesurgery Haptics for Medical Robotics Smart instrumented tools for surgery Surgical Navigation Surgical Workflow• Wearable Rehabilitation Systems
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The International Journal of Neural Systems is a bimonthly peer-reviewed journal which covers information processing in natural and artificial neural systems. The journal presents a fresh, undogmatic attitude towards this multi-disciplinary field, aiming to be a forum for novel ideas and improved understanding of collective and cooperative phenomena in systems with computational capabilities. Abstracting/Indexing: Academic OneFile | Academic Search Complete/ Elite/ Premier | Applied Science & Technology Source Ultimate | Baidu | CNKI | CnpLINKer | Compendex | CompuMath Citation Index | Computer Abstracts | CrossRef | CSA Neurosciences Abstracts | Current Contents ® /Engineering, Computing, and Technology | DBLP Computer Science Bibliography | Ebsco Discovery Service | EBSCO Electronic
An international scientific journal dedicated to advancing the state-of-theart of interconnection networks. The journal addresses all aspects of interconnection networks including their theory, analysis, design, implementation and application, and corresponding issues of communication, computing and function arising from (or applied to) a variety of multifaceted networks. Interconnection problems occur at different levels in the hardware and software design of communicating entities in integrated circuits, multiprocessors, multicomputers, and communication networks as diverse as telephone systems, cable network systems, computer networks, mobile communication networks, satellite network systems, the Internet and biological systems.
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INTERNATIONAL JOURNAL OF APPLICATIONSINTELLIGENCECOMPUTATIONALAND(IJCIA)
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (IJNS) https://www.worldscientific.com/ijns 2020 IMPACT FACTOR: 5.866
Abstracting/Indexing: Academic OneFile Academic Search Complete/ Elite/ Premier Science & Technology
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Editor-in-Chief: Eddie Cheng (Oakland University, USA)
Managing
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https://www.worldscientific.com/ijitdm Yong Shi (University of Nebraska at Omaha, USA) Editor: Gang Kou (Southwestern University of Finance and Economics, China) This journal provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both highquality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics. ABDC Journal Quality List by Australian Business Deans Council | Academic OneFile | Baidu | Cabell | CNKI Scholar | CnpLINKer | Compendex | CompuMath Citation Index® | CrossRef | DBLP Computer Science Bibliography | Ebsco Business Source Complete | Ebsco Computer & Applied Science Complete | Ebsco Discovery Service | Ebsco Electronic Journal Service (EJS) | Ebsco Science & Technology Collection | ExLibris Primo Central | Google Scholar | INSPEC | ISI Alerting Services | J-Gate | Journal Citation Reports/Science Edition |
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Editor-in-Chief: Hojjat Adeli (The Ohio State University, USA) About IJNS: Aims & Scope
A refereed journal dedicated to the theory and applications of computational intel ligence (artificial neural networks, fuzzy systems, evolutionary computation and hybrid systems). The main goal of this journal is to provide the scientific community and industry with a vehicle whereby ideas using two or more conventional and computational intelligence based techniques could be discussed.
Source Ultimate | Baidu | CNKI | CnpLINKer | Compendex | CompuMath Citation Index | Computer Abstracts | CrossRef | CSA Neurosciences Abstracts | Current Contents®/Engineering, Computing, and Technology | DBLP Computer Science Bibliography | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | ExLibris Primo Central | Google Scholar | INSPEC | io-port.net | ISI Alerting Services | J-Gate | Journal Citation Reports/Science Edition | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat ® | ProQuest SciTech Premium Collection | PubMed | Science & Technology Collection | Science Citation Index Expanded | Scopus | The Summon® Service | WanFang Data. *Please log in to your existing account or register for a FREE account to enjoy FREE access to the selected articles.
The IJCIA welcomes original works in areas such as neural networks, fuzzy logic, evolutionary computation, pattern recognition, hybrid intelligent systems, symbolic machine learning, statistical models, image/audio/video compression and retrieval. The IJCIA greatly encourages new ideas, combining two or more areas, such as neuro-fuzzy, neuro-symbolic, neuro-evolutionary, neuro-symbolic, neuro-pattern recognition, fuzzy-evolutionary, evolutionary-symbolic, fuzzy-evolutionary, evolutionary-symbolic, fuzzy-symbolic, etc. to be submitted.
https://www.worldscientific.com/ijcia
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https://www.worldscientific.com/ijcis
This is an interdisciplinary journal dedicated to report original research results on data analysis methodology developments and their applications, with a special emphasis on the adaptive approaches. The mission of the journal is to elevate data analysis from the routine data processing by traditional tools to a new scientific level, which encourages innovative methods development for data science and its scientific research and engineering applications.
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Computer Science Catalogue 2022 30 For a free institutional trial or subscribe to these journals, please contact us at sales@wspc.com
INTERNATIONAL JOURNAL OF INFORMATION ACQUISITION (IJIA) https://www.worldscientific.com/ijia
JOURNAL OF THEORETICAL AND COMPUTATIONAL ACOUSTICS (JTCA)
https://www.worldscinet.com/jtca
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Editor-in-Chief: Dr Tao Mei (Chinese Academy of Sciences, China)
This journal addresses the intricacies of cooperative work in the framework of distributed interoperable information systems. It provides a forum for the presentation and dissemination of research covering all aspects of CIS design, requirements, functionality, implementation, deployment, and evolution. IJCIS will publish papers describing original ideas and new results, on topics that include, but are not limited to: CIS Principles, Information Agents, LargeScale Knowledge Bases for CIS, Theoretical Frameworks and Formal Methods for CIS, CIS Implementation Techniques, Integration Challenges, Information Modelling and Reasoning techniques for CISs, Advanced CIS Programming, CIS Evolution, Re-Engineering, Business Process Management Systems.
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ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (ADSAA)
The aim of this journal is to provide an international forum for the dissemination of the state-of-the-art information in the field of Computational Acoustics.
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Abstracting/Indexing: Academic OneFile | Academic Search Complete/ Elite/ Premier | Baidu | CNKI Scholar | CnpLINKer | CompuMath Citation Index® | CrossRef | CSA Aquatic Sciences and Fisheries Abstracts (ASFA) | CSA Meteorological & Geoastrophysical Abstracts | CSA Oceanic Abstracts | CSA Selected Water Resources Abstracts | Current Contents®Engineering, Computing and Technology | Ebsco Computer & Applied Science Complete | Ebsco Discovery Service | Ebsco Electronic Journal Service (EJS) | Ebsco Engineering Source | Ebsco Science & Technology Collection | ExLibris Primo Central | Google Scholar | ISI Alerting Services | J-Gate | Journal Citation Reports/Science Edition | Mathematical Reviews® (MR) | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | Proquest Computer & Information Systems Abstracts | ProQuest SciTech Premium Collection | Science Citation Index® | Science Citation Index Expanded | Scopus | The Summon® Service | Zentralblatt MATH. *Please log in to your existing account or register for a FREE account to enjoy FREE access to the selected articles.
Topics covered by this journal include research and tutorial contributions in OCEAN ACOUSTICS (a subject of active research in relation with sonar detection and the design of noiseless ships), SEISMO-ACOUSTICS (of concern to earthquake science and engineering, and also to those doing underground prospection like searching for petroleum), AEROACOUSTICS (which includes the analysis of noise created by aircraft), COMPUTATIONAL METHODS, and SUPERCOMPUTING. In addition to the traditional issues and problems in computational methods, the journal also considers theoretical research acoustics papers which lead to large-scale scientific computations.
Marburg,Co-Editors-In-ChiefSteffen(Technical University of Munich, Germany) & Wu, Sean F. (Wayne State University, USA)
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HeikoEditors-in-ChiefLudwig(IBM Almaden Research Center, USA), Gunter Schlageter (University of Hagen, Germany) & Vassilis J Tsotras (University of California — Riverside, USA)
https://www.worldscientific.com/adsaa
Editor-in-Chief: Nii O. Attoh-Okine (University of Delaware, Newark, Delaware, USA )
A high quality journal that aims to promote interaction and the exchange of original investigations and inventions, research findings and results, academic philosophies and opinions in information acquisition science and technology. The journal seeks to advance the fundamental theories, key technologies, and the critical applications in information acquisition science and technology. The IJIA publishes high quality, peer-reviewed papers on a wide range of information acquisition theories. The articles are not limited to the following: The mechanism and physical insights of sensing; sensing materials; sensors and sensing devices; multi-source information fusion and integration; detection and measurement apparatus; machine sensing and algorithms; micro- and nano-scale sensor and sensing devices; sensor information acquisition; presentation and substitution; psychophysics and applications in sensor design; neurophysics and applications in information processing; and other related topics.
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS (IJCIS)
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| ISI
| Engineering
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Abstracting/Indexing:
• SBA/virtual
• Simulation
| Ebsco
| Ergonomics
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Abstracting/Indexing: Academic OneFile | Baidu | CNKI | CnpLINKer (Engineering Index) EBSCO Sources Citation Index (ESCI) Google Scholar J-Gate | Naver | National Science and Technology Libraries (NSTL) | OCLC WorldCat® Service.
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systems/Intelligent
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| J-Gate | Journal Citation Reports/Science Edition | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat | ProQuest Computer & Information Systems Abstracts | ProQuest Technology Collection (Advanced Technologies Database with Aerospace) | ProQuest Technology Collection (Materials Science & Engineering Database) | Science Citation Index Expanded | Scopus | The Summon® Service | WanFang Data. INTERNATIONAL JOURNAL OF MODELING, SIMULATION, AND SCIENTIFIC COMPUTING (IJMSSC) https://www.worldscientific.com/ijmssc LinEditors-in-Chief:Zhang(Beihang University (BUAA), China) Agostino Bruzzone (Genoa University, Italy) This is a quarterly journal which deals with the fields of system modeling, simulation and scientific computing. The scope of the journal covers, but is not limited to: • Modeling theory and methodology for complex systems, system simulation theory and methodology • Complex applications of high level simulation languages, Multi-parameter Optimization in simulation • Verification, validation and accreditation of theory and technology • Finite element methods, finite difference methods, Approximation theory • Distributed/High-Performance/Pervasive/Grid/Cloud
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SCIENTIFIC
https://www.worldscientific.com/ijseke
Academic OneFile | Academic Search Complete/ Elite/ Premier | ACM Guide to Computing Literature | Baidu | Business Source Complete | CNKI Scholar | CnpLINKer | Compendex | CompuMath Citation Index® | CrossRef | Current Contents® Engineering, Computing and Technology | DBLP Computer Science Bibliography | Ebsco Computer & Applied Science Complete | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | Engineering Source (Ebsco) | Ebsco Science & Technology Collection | ExLibris Primo Central | Google Scholar | ISI Alerting Services | J-Gate | Journal Citation Reports/Science Edition | Mathematical Reviews® (MR) | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | ProQuest Technology Collection (Advanced Technologies Database with Aerospace) | Science Citation Index Expanded | Scopus | The Summon® Service | Zentralblatt MATH. GUIDANCE, NAVIGATION AND CONTROL (GNC) https://www.worldscientific.com/gnc HaibinEditors-in-ChiefDuan&Yingxun Wang (Beihang University, China) Guidance, Navigation and Control (GNC) will report on advances in the understanding and utilization of guidance, navigation and control theories, technologies and systems. The journal serves as a platform for academic exchange by experts, scholars and researchers in these fields. The following subjects are of particular interest to the journal: • Modeling, analysis and design of dynamics, control and guidance systems • Stability, optimization, electronics, avionics, and information processing related to various vehicle systems (marine, ground, aeronautical, and astronautical systems) • Theoretical and empirical research in guidance, navigation and control technologies • Application of guidance, navigation and control technologies to real-world problems Abstracting/Indexing: Baidu | CNKI Scholar | CnpLINKer | CrossRef | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | ExLibris Primo Central | Google Scholar | J-Gate | Naver | NSTLNational Science and Technology Libraries | OCLC WorldCat® | The Summon® Service. NEW Submit your paper to these journals. Recommend them to your librarian!
| EBSCO
MingEditors-in-ChiefXie(Nanyang Technological University, Singapore) Juyang (John) Weng (Michigan State University, USA)
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INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING (IJSEKE)
• M&S
31 WORLDFor more information, visit: www.worldscientific.com For a free institutional trial or subscribe to these journals, please contact us at sales@wspc.com
Giulio Sandini (Italian Institute of Technology, Italy)
• Computational
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ProfessorEditor-in-ChiefS.K. Chang (Knowledge Systems Institute, USA)
This journal intended to serve as a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of software engineering and knowledge engineering. Three types of papers will be published: The journal publishes papers in the areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engi neering, stepwise refinement/enhancement, formal methods of specification, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, logic pro gramming, expert systems, knowledge-based systems, distributed knowledge-based systems, deductive database systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, reverse engineering in software design, and applications in various domains of interest.
https://www.worldscientific.com/ijhr
This journal covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics.
Abstracting/Indexing: Academic OneFile | Baidu CNKI CnpLINKer Current Contents®/Engineering, Computing & Technology Computer Science Bibliography Discovery Service Electronic Journal Service (EJS) Source (Ebsco) Abstracts (Ebsco) ExLibris Primo Central Google Scholar INSPEC| io-port.net Alerting Services Computing, Bioinformatics/Data-Mining, High Performance simulation technology electromagnetics, electrodynamics, fluid dynamics, computational heat, mass, and momentum transfer technology of continuous systems/discrete systems/hybrid systems, complex systems/open systems/ huge systems prototyping engineering technology language methodology, supporting platforms, application techniques
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS (IJHR)
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https://www.worldscientific.com/us Managing Editor-in-Chief Jie Chen (Tongji University, China)
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https://www.worldscientific.com/nmnc
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INTERNATIONAL JOURNAL OF UNCERTAINTY, FUZZINESS AND KNOWLEDGE-BASED SYSTEMS (IJUFKS) https://www.worldscientific.com/ijufks
Recognizing the world is full of vagueness and uncertainty, this journal has chosen three very focused areas of research: i. Mathematics of Uncertainty ii. Economics & Finances iii. Cognitive TheScienceclose cooperation of the above three areas is of paramount importance. This journal strongly encourages the suggestions of any topic within these three general areas of research. The journal has demonstrated there is room for artificial intelligence & modern control theory in contributing solutions to some selected economic problems. We shall continue to explore other possibilities. A new initiative on cognitive science and economics is a good example. Over the years, this journal has published some papers on pattern recognition, image processing, and natural languages vis-a-vis artificial intelligence. We welcome any proposal on worthy new initiatives. Abstracting/Indexing : AAcademic OneFile | Academic Search Complete/ Elite/ Premier | Baidu | CNKI Scholar CnpLINKer Computer & Information Systems Abstracts CrossRef Ebsco Discovery Service EBSCO Electronic Journal Service (EJS) Embase Emerging Sources Citation Index (ESCI) ExLibris Primo Central Google Scholar J-Gate Mathematical Reviews® (MR) Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | ProQuest SciTech Premium Collection | RePEC | Scopus | The Summon® Service | Zentralblatt MATH.
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Editor-in-Chief: Phillip C-Y Sheu (University of California, Irvine, USA)
INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING (IJSC) https://www.worldscientific.com/ijsc
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Abstracting/Indexing: Academic OneFile | Academic Search Complete (Ebsco) | Baidu | CNKI | CnpLINKer | CrossRef | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | Emerging Sources Citation Index (ESCI) | ExLibris Primo Central | Google Scholar | J-Gate | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | ProQuest Computer & Information Systems Abstracts | ProQuest Technology Collection (Advanced Technologies Database with Aerospace) | ProQuest Technology Collection (Materials Science & Engineering Database) | Science Citation Index Expanded (SCIE) | Scopus | The Summon® Service. *Please log in to your existing account or register for a FREE account to enjoy FREE access to the selected articles. Submit your paper to these journals. Recommend them to your librarian!
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International Journal of Semantic Computing (IJSC) addresses the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. While some areas of Semantic Computing have appeared as isolated pieces in journals dedicated to individual disciplines, IJSC is a journal that glues these pieces together into an integrated theme with synergetic interactions. Abstracting/Indexing: Academic OneFile | Baidu | Compendex | CNKI Scholar | CnpLINKer | CrossRef | DBLP Computer Science Bibliography | Ebsco Applied Science & Technology Source Ultimate | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | Emerging Sources Citation Index (ESCI) | ExLibris Primo Central | Google Scholar | io-port.net | J-Gate | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | Proquest Computer & Information Systems Abstracts | ProQuest Technology Collection (Materials Science & Engineering Database) | The Summon ® Service.
Unmanned Systems (US) aims to cover all subjects related to the development of automatic machine systems, which include advanced technologies in unmanned hardware platforms (aerial, ground, underwater and unconventional platforms), unmanned software systems, energy systems, modeling and control, communications systems, computer vision systems, sensing and information processing, navigation and path planning, computing, information fusion, multi-agent systems, mission management, machine intelligence, artificial intelligence, and innovative application case studies.
This International Journal is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical, methodological or practical works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators. Abstracting/Indexing: Academic OneFile | Academic Search Complete/ Elite/ Premier | ACM Guide to Computing Literature Baidu Business Source Complete CNKI Scholar CnpLINKer Compendex CompuMath Citation Index® | CrossRef | Current Contents®Engineering, Computing and Technology | DBLP Computer Science Bibliography | Ebsco Computer & Applied Science Complete | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | Engineering Source (Ebsco) | Ebsco Science & Technology Collection | ExLibris Primo Central | Google Scholar | ISI Alerting Services | J-Gate | Journal Citation Reports/Science Edition | Mathematical Reviews® (MR) | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | ProQuest Technology Collection (Advanced Technologies Database with Aerospace) | Science Citation Index Expanded | Scopus | The Summon® Service | Zentralblatt MATH.
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Editor-in-Chief: Bernadette Bouchon-Meunier (Sorbonne Université, CNRS, France)
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Computer Science Catalogue 2022 32 For a free institutional trial or subscribe to these journals, please contact us at sales@wspc.com
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Managing Editor: Shu-Heng Chen (National Chengchi University)
NEW MATHEMATICS AND NATURAL COMPUTATION (NMNC)
Lihua Xie (Nanyang Technological University, Singapore)
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UNMANNED SYSTEMS (US)
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BenCo-Editors-in-ChiefM.Chen(Chinese University of Hong Kong, China)
Present and future global warming research must be increasingly based on big datasets at terabyte and exabyte scales from diverse sources (e.g. climate, ocean, economy, energy, ecosystem dynamics, industry, agriculture, environment, public’s attitude/ knowledge surveys).
DonaldEditors-In-ChiefHuisingh (University of Tennessee, Knoxville, USA)
07-Aug-20 9789811223327 398 350 KNOWLEDGE INNOVATION ON DESIGN AND CULTUREPROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE INNOVATION AND INVENTION 2020 (IEEE ICKII 2020) MEEN TEEN-HANG ET AL NATIONAL FORMOSA UNIV, TAIWAN 22-Nov-21 9789811238710 248 220 COMPUTATIONAL MODELING: FROM CHEMISTRY TO MATERIALS TO BIOLOGY - PROCEEDINGS OF THE 25TH SOLVAY CONFERENCE ON CHEMISTRY HENNEAUX MARC ET AL UNIV LIBRE BELGIUMINT’LBRUXELLESDE&SOLVAYINST, 22-Dec-20 9789811228209 158 140 EDUCATION AND AWARENESS OF SUSTAINABILITY - PROCEEDINGS OF THE 3RD INNOVATIONCONFERENCEEURASIANONEDUCATIONAL2020(ECEI2020) TIJUS CHARLES ET AL UNIV PARIS 8, FRANCE 10-Dec-20 9789811229350 198 175 NEW SUBMIT YOUR PAPER TO THESE JOURNALS. RECOMMEND THEM TO YOUR LIBRARIAN!
The “International Journal of Big Data Mining for Global Warming” is an inter-disciplinary journal dedicated to the publication of high-quality research articles, review articles, letters, case studies and book reviews in all aspects of global warming through traditional mining methods (statistical, spectral, numerical, simulating, LCA, 3E, etc.) and non-traditional mining methods (neural networks, deep learning, cloud computing, etc.) of these big datasets.
Abstracting/Indexing: Baidu | CNKI Scholar | CnpLINKer | Computer & Information Systems Abstracts (ProQuest) | CrossRef | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | ExLibris Primo Central | Google Scholar | J-Gate | Naver | NSTL - National Science and Technology Libraries | OCLC WorldCat® | ProQuest Central Technology Research Database (ProQuest) | The Summon® Service | WanFang Data.
33 WORLD SCIENTIFICFor more information, visit: www.worldscientific.com For a free institutional trial or subscribe to these journals, please contact us at sales@wspc.com
The Journal of Artificial Intelligence and Consciousness (JAIC) will offer a multidisciplinary platform to discuss AI and consciousness in the light of robotics and artificial systems, computational science, psychology, philosophy of mind, ethics, and neuroscience. The aims and scope of the journal are: (i) articles that take inspiration from biological consciousness and/or that explore theoretical issues of consciousness to build robots and AI systems that show forms of functional consciousness; (ii) articles that employ robots and AI systems as tools to model and better understand biological mechanisms of consciousness; (iii) articles that discuss ethical problems emerging or uncovered through the overlap of AI and consciousness, and that investigate the ethical and societal impact of consciousness and the limits of it, and (iv) to pursue the hybridization between the field of AI and the field of consciousness studies.
Zhihua Zhang (Beijing Normal University, China)
https://www.worldscientific.com/jaic
Abstracting/Indexing: Baidu | CNKI | CnpLINKer | CrossRef | Ebsco Discovery Service | EBSCO Electronic Journal Service (EJS) | ExLibris Primo Central | Google Scholar | J-Gate | Naver NSTLNational Science and Technology Libraries | OCLC WorldCat® | The Summon® Service. *Please log in to your existing account or register for a FREE account to enjoy FREE access to the selected articles. Proceedings TITLE EDITOR EDITOR (AFFILIATION) PUB DATE ISBN13 US$ £ DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS - PROCEEDINGS OF THE 14TH INTERNATIONAL FLINS CONFERENCE (FLINS 2020) LI ZHONG ET AL UNIV OF GERMANYHAGEN,
https://www.worldscinet.com/ijbdmgw
Chief and Executive Editors
Antonio Chella (Università degli Studi di Palermo & ICAR-CNR Palermo, Italy), David Gamez (Middlesex University, UK) & Riccardo Manzotti (IULM University, Milan, Italy)
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JOURNAL OF ARTIFICIAL INTELLIGENCE AND CONSCIOUSNESS (JAIC)
INTERNATIONAL JOURNAL OF BIG DATA MINING FOR GLOBAL WARMING (IJBDMGW)
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Computer Science Catalogue 2022 34 Title AuthorIndexIndexTick the titles and email to mkt@wspc.com to recommend to your librarian. Author Page Author Page Author Page Author Page Author Page Author Page ✔ Title Page ✔ Title Page ✔ Title Page
Rousseau, David 6 Ryabko, Boris 14 Sablin, Oleh 5 Sa-couto, Luis 11 Sagawa, Hiroyuki 13 Santos, Renato P Dos 25, 26 Sapp, Jan 4 Schiesser, William E 22 Schlenoff, Craig 21 Schmied, Robert 14 Schonfeld, Paul 26 Schuster, Peter Michael 24 Schwab, Johannes 20 Schwichtenberg, Helmut 24 Shen, Jun 12 Siboni, Gabi 13 Simos, Theodore E 16 Simovici, Dan A 6 Song, Hang 17 Spring, Jonathan M 13 Spulber, Daniel F 18 Stakhov, Alexey 6 Stein, James D 22 Strumia, Alberto 22 Suen, Ching Yee 20 Sun, Geng 12 Suseendran, G 15 Swan, Melanie 25, 26 Szegedy, Mario 25 Terao, Kazuhiro 6 Tijms, Henk 6 Ting, Christopher Hian Ann 24 Tornambe, Antonio 21 Traore, Issa 23 Treccani, Adrien 15 Trivedi, Kishor S 23 Tu, Peter H 9 Van Dam, Kerstin Kleese 9 Van Dam, Maartje 9 Vellido, Alfredo 7 Wallace, Richard J 8 Wang, Bin 11 Wang, Peng 19 Wang, Yong 7 Wang, Yu 15, 18 Watanabe, Noboru 16 Wichert, Andreas Miroslaus 10 Wichert, Andreas Miroslaus 11 Wirtz, Jochen 4 Witte, Frank 25, 26 Woungang, Isaac 23 Wu, Bian 19 Wu, Hao 9 Wu, Jiang-xing 19 Wu, Min 9 Wuppuluri, Shyam 25 Xie, Ming 21 Xin, Bin 10 Xu, Jun 17 Xu, Lexi 10 Yager, Kevin 9 Yan, Yang 11 Yang, Lin 12 Yang, Zheng Rong 4 Yao, Lina 11 Yeniyurt, Sengun 13 Yerramilli, Siva K 18 Yin, Zidu 9 Yong, Chen 21 Yoshida, Nobuaki 13 Yu, Guangxi 4 Yu, Quan 12 Yu, Wangyang 17 Yue, Kun 9 Zapletal, Jindrich 24 Zhang, Guang-quan 9 Zhang, Jianjun 7 Zhang, Qian 9 Zhang, Rong 17 Zhang, Xiang 11 Zhang, Zhen 19 Zhao, Guanghui 14 Zheng, Jinsong 4 Zhou, Aoying 16, 17, 25 Zhu, Gusheng 14 Zou, Jun 11
ACHIEVING GREATER EDUCATIONAL IMPACT THROUGH DATA INTELLIGENCE: PRACTICE, CHALLENGES AND EXPECTATIONS OF EDUCATION 19 ADAPTIVE MICRO LEARNING - USING FRAGMENTED TIME TO LEARN 12 ADVANCES IN PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 20 ALGEBRAIC GEOMETRY FOR ROBOTICS AND CONTROL THEORY 21 ALGORITHMIC FINANCE: A COMPANION TO DATA SCIENCE 24 ALGORITHMS FOR BIG DATA 25 ALGORITHMS: DESIGN TECHNIQUES AND ANALYSIS (2ND EDITION) 26 APPLIED ARTIFICIAL NEURAL NETWORK METHODS FOR ENGINEERS AND SCIENTISTS: SOLVING ALGEBRAIC EQUATIONS 19 APPLIED HEALTH CARE ANALYTICS: ENABLING TRANSFORMATIVE HEALTH CARE THROUGH DATA SCIENCE, MACHINE LEARNING, AND COGNITIVE COMPUTING 16 APPLIED SOFTWARE DEVELOPMENT WITH PYTHON & MACHINE LEARNING BY WEARABLE & WIRELESS SYSTEMS FOR MOVEMENT DISORDER TREATMENT VIA DEEP BRAIN STIMULATION 6 ARTIFICIAL BRAINS: AN EVOLVED NEURAL NET MODULE APPROACH 11 ARTIFICIAL INTELLIGENCE AND EMERGING TECHNOLOGIES IN INTERNATIONAL RELATIONS 8 ARTIFICIAL INTELLIGENCE FOR HIGH ENERGY PHYSICS 6 ARTIFICIAL INTELLIGENCE IN HIGHWAY LOCATION AND ALIGNMENT OPTIMIZATION: APPLICATIONS OF GENETIC ALGORITHMS IN SEARCHING, EVALUATING, AND OPTIMIZING HIGHWAY LOCATION AND ALIGNMENTS 26 ARTIFICIAL INTELLIGENCE METHODS FOR SOFTWARE ENGINEERING 10 ARTIFICIAL INTELLIGENCE PLATFORM FOR MOLECULAR TARGETED THERAPY: A TRANSLATIONAL SCIENCE APPROACH 5 ARTIFICIAL INTELLIGENCE, DATA AND BLOCKCHAIN IN A DIGITAL ECONOMY, FIRST EDITION 15 ARTIFICIAL INTELLIGENCE: FROM BEGINNING TO DATE 7 ARTIFICIAL INTELLIGENCE/ HUMAN INTELLIGENCE: AN INDISSOLUBLE NEXUS 8 ARTIFICIAL NEURAL NETWORKS: METHODS AND APPLICATIONS IN FRACTIONAL ORDER SYSTEMS 11 BASIC CONCEPTS IN ALGORITHMS 25 BASIC PROBABILITY: WHAT EVERY MATH STUDENT SHOULD KNOW (SECOND EDITION) 6 BIG DATA TRANSPORTATION SYSTEMS 14 BIOLOGICAL LANGUAGE MODEL: THEORY AND APPLICATION 25 BIOLOGICAL PATTERN DISCOVERY WITH R: MACHINE LEARNING APPROACHES 4 BLOCKCHAIN AND DISTRIBUTED LEDGERS: MATHEMATICS, TECHNOLOGY, AND ECONOMICS 15 BLOCKCHAIN AND SMART CONTRACTS: DESIGN THINKING AND PROGRAMMING FOR FINTECH 15 BLOCKCHAIN TECHNOLOGIES, APPLICATIONS AND CRYPTOCURRENCIES: CURRENT PRACTICE AND FUTURE TRENDS 15 BLOCKCHAIN: EMPOWERING DIGITAL ECONOMY 11 BRAIN VS COMPUTER: THE CHALLENGE OF THE CENTURY IS NOW LAUNCHED (SECOND EDITION) 7 BUILDING SECURE AND HIGH-PERFORMANCE SOFTWARE SYSTEMS 23 CASE FOR PATENTS, THE 18 CHINA AI REPORT 2020 5 CLOUD TO EDGEWARE: WIRELESS GRID APPLICATIONS, ARCHITECTURE AND SECURITY FOR THE “INTERNET OF THINGS” 17 CLUSTERING AND OUTLIER DETECTION FOR TRAJECTORY STREAM DATA 16 CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS 6 COGNITIVE SATELLITE SYSTEM 7 COMPUTING AND OPTIMIZATION FOR DC POWER SYSTEMS OF ELECTRIC TRANSPORT 5 CONVERGENCE OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGIES, THE: CHALLENGES AND OPPORTUNITIES 15 CRYPTOGRAPHY IN THE INFORMATION SOCIETY 14 CRYPTOLOGY FOR ENGINEERS: AN APPLICATION-ORIENTED MATHEMATICAL INTRODUCTION 14 CYBER SECURITY AND SUPPLY CHAIN MANAGEMENT: RISKS, CHALLENGES, AND SOLUTIONS 13 CYBER SECURITY PRACTITIONER’S GUIDE 13 CYBERSECURITY AND LEGAL-REGULATORY ASPECTS 13 DATA AND SOCIETY 15 DECIPHERING THE BOOK OF LIFE: ADVANCES IN COMPUTATIONAL GENOMICS 14 DECOMPOSITION-BASED EVOLUTIONARY OPTIMIZATION IN COMPLEX ENVIRONMENTS 10 DEEP LEARNING FOR EEG-BASED BRAIN-COMPUTER INTERFACES: REPRESENTATIONS, ALGORITHMS AND APPLICATIONS 11 DEEP LEARNING FOR IMAGE RECONSTRUCTION 20 DEEP LEARNING FOR PHYSICS RESEARCH 6 DEEP LEARNING IN BIOLOGY AND MEDICINE 7 DESIGN AND IMPLEMENTATION OF DATACENTER PROTOCOLS FOR CLOUD COMPUTING 19 DIFFERENTIAL GEOMETRICAL FOUNDATIONS OF INFORMATION GEOMETRY: GEOMETRY OF STATISTICAL MANIFOLDS AND DIVERGENCES 5 DIGITAL TRANSFORMATION: EVALUATING EMERGING TECHNOLOGIES 17 DYNAMICALLY ENABLED CYBER DEFENSE 12 E-BUSINESS IN THE 21ST CENTURY: ESSENTIAL TOPICS AND STUDIES (SECOND EDITION) 17 EMERGING BUSINESS MODELS, THE 4 EXPLORATIONS IN NUMERICAL ANALYSIS: PYTHON EDITION 23 FATE OF SCHRODINGER’S CAT, THE: USING MATH AND COMPUTERS TO EXPLORE THE COUNTERINTUITIVE 22 FINANCE FOR FINTECH PROFESSIONALS 18 FINANCIAL AND ECONOMIC SYSTEMS: TRANSFORMATIONS AND NEW CHALLENGES 12 FINANCIAL MANAGEMENT IN THE DIGITAL ECONOMY 12 FINTECH FOR FINANCE PROFESSIONALS 18 FOUNDATIONS FOR FINTECH 18 FRACTAL ANALYSIS: BASIC CONCEPTS AND APPLICATIONS 24 FROM FRACTALS AND CELLULAR AUTOMATA TO BIOLOGY: INFORMATION AS ORDER HIDDEN WITHIN CHANCE 22 FUNDAMENTALS OF QUANTUM INFORMATION (EXTENDED EDITION) 13 FUTURE NETWORK ARCHITECTURES AND CORE TECHNOLOGIES 19 FUZZY SYSTEMS TO QUANTUM MECHANICS 12 GENERALIZATION WITH DEEP LEARNING: FOR IMPROVEMENT ON SENSING CAPABILITY 9 GENES, GERMS AND MEDICINE: THE LIFE OF JOSHUA LEDERBERG 4 GRANULAR VIDEO COMPUTING: WITH ROUGH SETS, DEEP LEARNING AND IN IOT 9 HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING - VOLUME 2 4 HANDBOOK OF PATTERN RECOGNITION AND COMPUTER VISION (6TH EDITION) 21 HANDBOOK OF RANDOM FORESTS: THEORY AND APPLICATIONS FOR REMOTE SENSING 21 HANDBOOK OF SOFTWARE AGING AND REJUVENATION: FUNDAMENTALS, METHODS, APPLICATIONS, AND FUTURE DIRECTIONS 23 HANDBOOK OF UNCONVENTIONAL COMPUTING - VOLUME 2: IMPLEMENTATIONS 7 HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES (IN 2 VOLUMES) 9 HANDS-ON COMPUTER VISION 20 HANDWRITTEN HISTORICAL DOCUMENT ANALYSIS, RECOGNITION, AND RETRIEVAL - STATE OF THE ART AND FUTURE TRENDS 21 HEALTH MICROINSURANCE: IMPLEMENTING UNIVERSAL HEALTH COVERAGE IN THE INFORMAL SECTOR 14 HIGH DIMENSIONAL KNOTTING: AN ILLUSTRATED GUIDE 24 HUMAN ENACTMENT OF INTELLIGENT TECHNOLOGIES: TOWARDS METIS AND MINDFULNESS 5 INTELLIGENT AUTOMATION: WELCOME TO THE WORLD OF HYPERAUTOMATION: LEARN HOW TO HARNESS ARTIFICIAL INTELLIGENCE TO BOOST BUSINESS & MAKE OUR WORLD MORE HUMAN 4 INTRODUCTION TO CYBER FORENSIC PSYCHOLOGY: UNDERSTANDING THE MIND OF THE CYBER DEVIANT PERPETRATORS 13 INTRODUCTION TO MACHINE LEARNING IN QUANTITATIVE FINANCE, AN 4 LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING - VOLUME II: FUNDAMENTALS OF OPTIMIZATION THEORY WITH APPLICATIONS TO MACHINE LEARNING 8 LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING - VOLUME I: LINEAR ALGEBRA FOR COMPUTER VISION, ROBOTICS, AND MACHINE LEARNING 8 LOAD BALANCE FOR DISTRIBUTED REAL-TIME COMPUTING SYSTEMS 17 LOGNORMALITY PRINCIPLE AND ITS APPLICATIONS IN E-SECURITY, E-LEARNING AND E-HEALTH, THE 20 MACHINE LEARNING - A JOURNEY TO DEEP LEARNING: WITH EXERCISES AND ANSWERS 11 MACHINE LEARNING: CONCEPTS, TOOLS AND DATA VISUALIZATION 7 MANAGING INFORMATION TECHNOLOGY PROJECTS: CREATING A BODY OF KNOWLEDGE IN IT PROJECT MANAGEMENT 23 MANUFACTURING IN THE ERA OF 4TH INDUSTRIAL REVOLUTION: A WORLD SCIENTIFIC REFERENCE (IN 3 VOLUMES) 21 MATHEMATICAL MODELING OF VIRUS INFECTION: ODE/PDE ANALYSIS IN R 22 MATHEMATICS OF HARMONY AS A NEW INTERDISCIPLINARY DIRECTION AND “GOLDEN” PARADIGM OF MODERN SCIENCEVOLUME 1: THE GOLDEN SECTION, FIBONACCI NUMBERS, PASCAL TRIANGLE, AND PLATONIC SOLIDS 6 NEW FOUNDATION OF ARTIFICIAL INTELLIGENCE 21 NUMERICAL SOLUTION OF THE SCHRODINGER EQUATION 16 OPTIMAL TRANSPORT NETWORKS IN NATURE 20 ORTHONORMAL SERIES ESTIMATORS 16 PERSPECTIVE ON HOLISTIC ENGINEERING MANAGEMENT, A: LEARNING, ADAPTING AND CREATING VALUE 18 PRINCIPLES OF QUANTUM ARTIFICIAL INTELLIGENCE: QUANTUM PROBLEM SOLVING AND MACHINE LEARNING (SECOND EDITION) 10 PROBABILISTIC APPROACHES FOR SOCIAL MEDIA ANALYSIS: DATA, COMMUNITY AND INFLUENCE 9 PROOF AND COMPUTATION II: FROM PROOF THEORY AND UNIVALENT MATHEMATICS TO PROGRAM EXTRACTION AND VERIFICATION 24 PYTHON, DATA SCIENCE AND MACHINE LEARNING: FROM SCRATCH TO PRODUCTIVITY 10 QUANTUM BIO-INFORMATICS VI: FROM QUANTUM INFORMATION TO BIOINFORMATICS - PROCEEDINGS OF QUANTUM BIO-INFORMATICS 2014 16 QUANTUM COMPUTING FOR THE BRAIN 26 QUANTUM COMPUTING: PHYSICS, BLOCKCHAINS, AND DEEP LEARNING SMART NETWORKS 25 QUANTUM MECHANICS AND BAYESIAN MACHINES 20 QUERY COMPLEXITY 25 RECOMMENDER SYSTEMS: ADVANCED DEVELOPMENTS 9 REMOTE LABORATORIES: EMPOWERING STEM EDUCATION WITH TECHNOLOGY 23 REQUIREMENTS MODELING AND CODING: AN OBJECT-ORIENTED APPROACH 23 RISK ANALYTICS: FROM CONCEPT TO DEPLOYMENT (2ND EDITION) 14 RISK CONTROL THEORY OF ONLINE TRANSACTIONS 17 SELF-ORGANISING MULTI-AGENT SYSTEMS: ALGORITHMIC FOUNDATIONS OF CYBER-ANARCHO-SOCIALISM 11 SLIDING-ROLLING CONTACT AND IN-HAND MANIPULATION 22 SOLID ACOUSTIC WAVES AND VIBRATION: THEORY AND APPLICATIONS 22 STATISTICAL MACHINE LEARNING WITH APPLICATIONS IN FINANCE 8 STRUCTURE AND RANDOMNESS IN COMPUTABILITY AND SET THEORY 24 SUBCRITICAL BRAIN, THE: A SYNERGY OF SEGREGATED NEURAL CIRCUITS IN MEMORY, COGNITION AND SENSORIMOTOR CONTROL 19 TECHNOLOGICAL INNOVATION: STRATEGY AND MANAGEMENT 19 THINKING MATTERS: CRITICAL THINKING AS CREATIVE PROBLEM SOLVING 24 TO HALT, OR NOT TO HALT. THAT IS THE QUESTION 10 TOWARD SUSTAINABLE AND ECONOMIC SMART MOBILITY: SHAPING THE FUTURE OF SMART CITIES 10 TRANSHUMANISM: A REALISTIC FUTURE? 8 UNRAVELLING COMPLEXITY: THE LIFE AND WORK OF GREGORY CHAITIN 25 USING SCIENCE IN CYBERSECURITY 13 WHAT ARE TENSORS EXACTLY? 5 WHAT IS ARTIFICIAL INTELLIGENCE?: A CONVERSATION BETWEEN AN AI ENGINEER AND A HUMANITIES RESEARCHER 9 WHEN MACHINES CAN BE JUDGE, JURY, AND EXECUTIONER: JUSTICE IN THE AGE OF ARTIFICIAL INTELLIGENCE 12 Abreu, Rui 10 Accardi, Luigi 16 Acken, John M 18 Adamatzky, Andrew 7 Ahmed, Ahmed Awad E 23 Albert, Mark 16 Alsuwaiyel, M H 26 Anandan, R 15 Angelov, Plamen Parvanov 12 Antholzer, Stephan 20 Arfaoui, Sabrine 24 Aslett, Robert J 18 Avritzer, Alberto 23 Bacciu, Davide 7 Baram, Yoram 19 Barkin, Ian 4 Ben Ameur, Hachmi 12 Beynon-davies, Paul 15 Bilokon, Paul A 10 Blom, Marleah 20 Bordegoni, Monica 21 Bornet, Pascal 4 Bosyi, Dmytro 5 Brooks, Tyson T 17 Bruck, Hugh A 21 Cai, Zixing 7 Calafiura, Paolo 6 Calude, Cristian S 10 Campbell, Stuart 9 Cao, Yue 10 Carnovale, Steven 13 Cattani, Carlo 24 Cenzer, Douglas 24 Chai, Whistine Xiau Ting 13 Chakraborty, Debarati Bhunia 9 Chakraverty, Snehashish 11, 19 Chapline, George 20 Chen, Baifan 7 Chen, Chi Hau 21 Chen, Hui 21 Chen, Jie 10 Chen, Zhenghua 9 Choi, Eunsoo 7 Cui, Lei 22 Dai, Jian S 22 Daim, Tugrul U 17 De Garis, Hugo 11 Ding, Ding 4, 12 Dohi, Tadashi 23 Dong, Qiwen 25 Dong, Xin 4 Doria, Francisco Antonio 25 Drenthe, Michel 11 Dror, David M 14 Eadie, Robert 23 Eiza, Mahmoud Hashem 10 Erdmann, Martin 6 Ezioni, Limor 13 Fang, Junhua 17 Farnsworth, Richard 9 Feldman, Moran 25 Fernandez, Ariel 5 Ferrer-ballester, Miguel Angel 20 Fillard, Jean-pierre 7 Fillard, Jean-pierre 8 Fionov, Andrey 14 Fischer, Andreas 21 Forrest, Katherine B 12 Foster, Ian T 9 Freudenberg, Wolfgang 16 Ftiti, Zied 12 Gallier, Jean H 8 Gao, Xiang-zhu 17 Garcia Manjon, Juan Vicente 19 Garcia-zubia, Javier 23 Ge, Li-feng 22 Glombitza, Jonas 6 Goertzel, Ben 11 Goundar, Sam 15 Gu, Xiaoqing 19 Guan, Chong 4, 12 Guo, Hongyu 5 Gupta, Satyandra K 21 Gupta, Suman 9 Haltmeier, Markus 20 Hansch, Ronny 21 Holford, W David 5 Hu, Xiuzhen 25 Hu, Yiling 19 Hu, Yu-xiang 19 Hu, Zhen-cheng 21 Infocomm Media Development Authority, 15 Ingold, Rolf (jurg) 21 Jahankhani, Hamid 13 Jeswal, Sumit Kumar 19 Jiang, Changjun 17 Jiang, Yi-ming 19 Jiang, Zhiying 4 Jin, Cheqing 16 Jing, Xiaoyang 25 Kalech, Meir 10 Kalidindi, Surya 9 Kalinin, Sergei V 9 Kang, Minsoo 7 Kang, Min-wook 26 Kasieczka, Gregor 6 Khader, Majeed 13 Kizilova, Natalya 20 Klein, Shmuel Tomi 25 Klemradt, Uwe 6 Kosariev, Yevhen 5 Kothari, Robin 25 Krovi, Venkat 21 Lambers, James V 23 Lan, Ju-long 19 Last, Mark 10 Lebedev, Mikhail A 26 Lee, Cheng Few 4 Lee, David Kuo Chuen 12, 15, 18 Lee, John C 4 Lee, Troy 25 Lemoyne, Robert 6 Li, Hong-xing 12 Li, Jin 9 Li, Jing 7 Li, Juan 10 Li, Xiaoli 9 Lim, Joseph 18 Lin, Jiayin 12 Lipton, Alexander 15 Lisboa, Paulo J G 7
Liu, Alex X 19 Liu, Lijue 7 Liu, Liping 23 Liu, Weiyi 9 Liwicki, Marcus 21 Lo, Swee Won 15 Lookman, Turab 9 Louhichi, Wael 12 Lu, Jie 9 Mabrouk, Anouar Ben 24 Mainzer, Klaus 24 Mall, Susmita 11 Mao, Jiali 16 Mar, Gary R 24 Marcelli, Angelo 20 Marwala, Tshilidzi 8 Mastroianni, Timothy 6 Matsuzoe, Hiroshi 5 Mcknight, Lee Warren 17 Menini, Laura 21 Metcalf, Leigh Barnes 13 Montiforte, Vivian Ashley 23 Mooney, Amber C Sumner 23 Munir, Ali 19 Ndzendze, Bhaso 8 Neo, Loo Seng 13 Newman, Ilan 25 Ng, Edward Hon Khay 14 Ni, Hao 4 Nobile, Nicola 20 Pal, Sankar Kumar 9 Perera, Srinath 23 Petrov, Plamen 16 Phoon, Kok Fai 18 Pitt, Jeremy 11 Plamondon, Rejean 20 Pomplun, Marc 20 Pons, Odile 16 Porter, Christopher 24 Possieri, Corrado 21 Quaintance, Jocelyn 8 Ritchie, James M 21 Ritter, Gordon 8 Roseman, Dennis 24
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