3 minute read
Neural Networks
Strategy and Management
by Juan Vicente García Manjón (Universidad Europea Miguel de Cervantes (UEMC), Spain) “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.
332pp 978-981-121-145-4 Mar 2020 US$118 £105
East China Normal University Scientific Reports - Vol 15
ACHIEVING GREATER EDUCATIONAL IMPACT THROUGH DATA INTELLIGENCE
Practice, Challenges and Expectations of Education
by Bian Wu, Yiling Hu & Xiaoqing Gu (East China Normal University, China)
Key Features
• This book introduces a systematic study of data intelligence in education for the benefit of different stakeholders including education administrators, teachers, and learners • 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 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.
150pp 978-981-123-290-9 Jan 2022 US$88 £75
Neural Networks
DESIGN AND IMPLEMENTATION OF DATACENTER PROTOCOLS FOR CLOUD COMPUTING
by Alex X Liu (Ant Financial, USA) & Ali Munir (Cornell University, USA) 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. Readership: Professionals, researchers, academics, and graduate students in computer engineering, neural networks, and computer maths and science.
APPLIED ARTIFICIAL NEURAL NETWORK METHODS FOR ENGINEERS AND SCIENTISTS
Solving Algebraic Equations
by Snehashish Chakraverty & Sumit Kumar Jeswal (National Institute of Technology Rourkela, India)
Key Features
• Expert ANN based methods showing the alternative way to handle problems compared to traditional methods • Various algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. are handled using ANN methods
Readership: Advanced graduate students, professionals and scientists in Artificial Neural Network and Machine Learning.
192pp 978-981-123-020-2 Feb 2021 US$78 £70
THE SUBCRITICAL BRAIN
A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control
by Yoram Baram (Technion — Israel Institute of Technology, Israel) “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
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 978-981-123-309-8 May 2021 US$98 £85
FUTURE NETWORK ARCHITECTURES AND CORE 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)
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 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.
