3 minute read
Robotics
HANDBOOK OF PATTERN RECOGNITION AND COMPUTER
VISION (6th Edition)
edited by C H Chen (University of Massachusetts Dartmouth, USA)
Review of the 5th Edition:
“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 Readership: Graduate students, academics, practitioners, researchers, computer scientists, electrical and medical engineers.
404pp 978-981-121-106-5 Apr 2020 US$188 £165
Series in Computer Vision
HANDBOOK OF RANDOM FORESTS
Theory and Applications for Remote Sensing
by RonnyHänsch (Technische Universität Berlin, Germany) 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. Readership: Researchers, professionals, academics and graduate students in pattern recognition/image analysis, machine perception/computer vision, and artificial intelligence.
300pp 978-981-3224-05-6 Feb 2022 US$128 £113
Series in Machine Perception and Artificial Intelligence - Vol 89
HANDWRITTEN HISTORICAL DOCUMENT ANALYSIS, RECOGNITION, AND RETRIEVAL — STATE OF THE ART AND FUTURE TRENDS
edited by Andreas Fischer, Marcus Liwicki & Rolf Ingold (University of Fribourg, Switzerland) 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.
Readership: Researchers, professionals, and academics in pattern recognition, image analysis, machine perception and computer vision.
NEW FOUNDATION OF ARTIFICIAL INTELLIGENCE
by Ming Xie (Nanyang Technological University, Singapore), Hui Chen (Tongji University, China) & Zhencheng Hu (Kumamoto University, Japan) 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. 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 978-981-4271-63-9 Feb 2021 US$88 £73
World Scientific Series in Advanced Manufacturing
MANUFACTURING IN THE ERA OF 4TH INDUSTRIAL REVOLUTION
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) Editor-in-chief: Satyandra K Gupta (University of Southern California, USA)
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: 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
by Laura Menini (University of Rome Tor Vergata, Italy), Corrado Possieri (IASI-CNR, Italy) & Antonio Tornambè (University of Rome Tor Vergata, Italy)
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: Readers and practitioners in the fields of algebraic geometry, control theory, and robotics.
