This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students and industry professionals in the fields of machine learning, deep learning, AI, sensing, computer vision and sensors.
Format: Hardback
CONTRIBUTORS: Md Atiqur Rahman Ahad
EAN: 9781032766423
COUNTRY: United Kingdom
PAGES: 216
WEIGHT:
HEIGHT: 234 mm
PUBLISHED BY: Taylor & Francis Ltd
DATE PUBLISHED: 2025-12-30
CITY:
GENRE: COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, COMPUTERS / Optical Data Processing, COMPUTERS / Data Science / Machine Learning, SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Industrial Technology, TECHNOLOGY & ENGINEERING / Sensors
WIDTH: 156 mm
SPINE:
Book Themes:
Biomedical engineering, Probability and statistics, Instruments and instrumentation, Biosensors, Electrical engineering, Automatic control engineering, Sensors, Digital and information technologies: social and ethical aspects, Digital and information technologies: Legal aspects, Artificial intelligence, Machine learning, Computer vision, Image processing
Md Atiqur Rahman Ahad, Ph.D. (SMIEEE, SMOPTICA) is a Professor of AI, University of East London, Visiting Professor of Kyushu Institute of Technology, Japan; Aoyama Gakuin University, Japan; and UCSI University, Malaysia. He works on AI on healthcare (AMR, PD, well-being, rehabilitation), AI & cyber safety, etc. He studied at KyuTech (Ph.D.), UNSW (MCompSc), and DU (BSc(Honors), MSc). He has received 60 awards/recognitions. Dr. Ahad acquired grants UKRI, NIHR, STMicroelectronics, OfS, etc. He has also published 16 books, 210+ peer-reviewed papers and book chapters. Dr Ahad was invited as keynote/invited speaker 170+ times at different conferences/universities. He has/had over 145 Ph.D. and other researchers as supervisor/co-supervisor. He is an Associate Editor, Pattern Recognition, Editorial Board Member, Scientific Reports, Nature; General Chair: Int. Joint Conf. on Biometrics (IJCB2025). More info: http://ahadVisionLab.comAnton Nijholt is interested in non-traditional human-computer interaction issues. These issues include irrational behavior, deception, food, and humor. They are included in research on entertainment computing, augmented reality, brain-computer interfacing, multimodal interaction, affective interaction, and modelling interactions in smart environments, including human-human interaction, human-robot interaction, human-virtual agent interaction, and playable cities.He has been program chair or general chair of the main international conferences of affective computing (ACII), entertainment computing (ACE, INTETAIN, ICEC), virtual agents (IVA), faces & gestures (FG), and some others. He organised many workshops on related topics, such as multisensorial augmented reality, humor engineering, human-food interaction, playable cities, and brain-computer interfacing. Recent edited books are Playable Cities: The City as a Digital Playground, Making Smart Cities more Playable, and Brain Art: Brain-Computer Interfaces for Artistic Expression.Nijholt held positions at various universities in Belgium and the Netherlands. He acted as supervisor for about fifty Ph.D. students. During some years Nijholt was scientific advisor of Philips Research, Eindhoven. He has been research-fellow at McMaster University (Canada), the Netherlands Institute for Advanced Study in the Humanities and Social Sciences, the Imagineering Institute in Malaysia, and member of Microsoft’s Technical Leadership Advisory Board. Nijholt is Chief Editor of the section "Human-Media Interaction" of Frontiers in Psychology and Frontiers in Computer Science, series editor of Gaming Media and Social Effects, and a member of many editorial boards.Md Abdus Samad Kamal is working at the Cluster of Electronics and Mechanical Engineering, Graduate School of Science and Technology Gunma University, Japan. His details are in https://www.mst.st.gunmau.ac.jp/kamal/biog.html.Björn Schuller received his diploma, doctoral degree, and habilitation in Machine Intelligence and Signal Processin