Overview
- Comprises peer-reviewed papers presented during ICRTAC- CVMIP 2021
- Includes contributions from academia, and industry in state-of-the-art methods in computer vision
- Serves as a valuable reference resource for academics and researchers across the globe
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 967)
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Table of contents (30 papers)
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Front Matter
Keywords
About this book
Editors and Affiliations
About the editors
Sabu M. Thampi is a Professor atthe School of Computer Science and Engineering (SoCSE), Kerala University of Digital Sciences, Innovation and Technology (KUDSIT) - formerly IIITM-K, Technocity Campus, Trivandrum, Kerala, India. He holds a Ph.D. in Computer Engineering from the National Institute of Technology Karnataka. His current research interests include the Internet of things (IoT), cognitive security, social networks, endpoint security, and smart cyber-physical systems. Sabu is also coordinating the Connected Systems and Intelligence (CSI) Lab at KUDSIT. Dr. Sabu has been actively involved in funded research projects and published papers in book chapters, journals, and conference proceedings. He has authored and edited a few books, as well as edited 45+ conference proceedings published by Springer in various series, as well as a few others published by IEEE, ACM, and Elsevier. Sabu has served as Guest Editor for special issues in a few journals and a program committee member for many international conferencesand workshops. He has co-chaired several international workshops and conferences. He has initiated (ISTA, SSCC, SIRS, ISI, SoMMA, ACN, and CoCoNet...) and is also involved in the organization of several annual conferences/symposiums. Sabu is currently serving as Editor for Elsevier Journal of Network and Computer Applications (JNCA), Elsevier Journal of Engineering Applications of Artificial Intelligence (2022), Connection Science - Taylor & Francis; Associate Editor for IEEE Access and International Journal of Embedded Systems, Inderscience, UK; and Reviewer for several reputed international journals. Sabu is a Senior Member of IEEE and ACM. He is the Founding Chair of the ACM Trivandrum Professional Chapter.
Shyh-Hau Wang is a Professor in the Department of Computer Science and Information Engineering (CSIE); Institute of Medical Informatics (IMI); MS Program in Artificial Intelligence Technology at National Cheng Kung University (NCKU), Tainan, Taiwan. He completed his Ph.D. in Bioengineering at the Pennsylvania State University (PSU), USA. His research interests include medical and healthcare informatics, ultrasound signal and imaging system, machine/deep learning for signal/image processing, and smart ultrasound tissue characterization. He is a Senior Member of IEEE Engineering in Medicine and Biology Society (EMBS) and IEEE Ultrasonics, Ferroelectrics, and Frequency Control (UFFC). He has many publications to his credit and served as editor for books in the areas of his research interest.
Bibliographic Information
Book Title: Computer Vision and Machine Intelligence Paradigms for SDGs
Book Subtitle: Select Proceedings of ICRTAC-CVMIP 2021
Editors: R. Jagadeesh Kannan, Sabu M. Thampi, Shyh-Hau Wang
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-19-7169-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-7168-6Published: 02 January 2023
Softcover ISBN: 978-981-19-7171-6Published: 03 January 2024
eBook ISBN: 978-981-19-7169-3Published: 01 January 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XVII, 339
Number of Illustrations: 31 b/w illustrations, 131 illustrations in colour
Topics: Artificial Intelligence, Machine Learning, Computer Applications, Computer Systems Organization and Communication Networks