Smart Computing Techniques in Industrial IoT (Studies in Computational Intelligence, 1172) - Hardcover

Hardcover

ISBN 10: 9819774934 ISBN 13: 9789819774937

Publisher: Springer, 2024

Synopsis

The book provides a conceptual framework and roadmap for applications and research trends in Smart Computing Techniques in Industrial IoT. This volume aims to provide information on emerging fields of intelligent computing techniques with a particular emphasis on industrial IoT development and applications of artificial intelligence, deep learning techniques, computational intelligence methods, the Internet of Medical Things (IoMT), optimization techniques, blockchain, and cloud computing. It will be a useful guide for undergraduate and postgraduate students studying artificial intelligence, deep learning, industry 4.0, industry 5.0, smart cities, machine learning, deep learning computational intelligence, and edge/cloud computing.

About this title

About the Author

Chiranji Lal Chowdhary is an Associate Professor in the School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College in Jodhpur, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology, Bangalore. He received his Ph.D. VIT University, Vellore. His research interests span both computer vision and image processing, mainly through the application of image processing, computer vision, machine learning and computational intelligence. Prof. Chowdhary is the editor/co-editor of 10 books and has authored over 80 articles on computer science. He has also filed three patents based on his research.

Asis Kumar Tripathy is a professor at the School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India. He completed his Ph.D. from the National Institute of Technology, Rourkela, and MTech from IIIT Bhubaneswar, India. His research interests include wireless sensor networks, cloud computing, the Internet of Things, and advanced network technologies. He has several publications in refereed journals, reputed conferences, and book chapters. He is the associate editor of the International Journal of Computational Science and Engineering. Also, he is the reviewer of many IEEE Transactions, ACM journals, Elsevier, and Springer journals. Further, he also serves as the reviewer of international funding agencies such as the Swiss National Science Foundation. He has served as a program committee member in several international conferences of repute. He has also been involved in many professional and editorial activities. He is a senior member of IEEE and a member of ACM.

Yulei Wu is an Associate Professor working across the Faculty of Engineering and the Bristol Digital Futures Institute, University of Bristol, UK. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (1st Class Hons.) degree in Computer Science from the University of Bradford, UK, in 2010 and 2006, respectively. His research interests focus on digital twins and ethics-responsible decision making and their applications on future networks, connected systems, edge computing, and digital infrastructure. He has published 10 authored/edited monograph books and over 150 research papers in prestigious international journals and conferences. He is a Senior Member of the IEEE and the ACM.

From the Back Cover

The book provides a conceptual framework and roadmap for applications and research trends in Smart Computing Techniques in Industrial IoT. This volume aims to provide information on emerging fields of intelligent computing techniques with a particular emphasis on industrial IoT development and applications of artificial intelligence, deep learning techniques, computational intelligence methods, the Internet of Medical Things (IoMT), optimization techniques, blockchain, and cloud computing. It will be a useful guide for undergraduate and postgraduate students studying artificial intelligence, deep learning, industry 4.0, industry 5.0, smart cities, machine learning, deep learning computational intelligence, and edge/cloud computing.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 9819774934
• ISBN 13: 9789819774937
• Binding: Hardcover
• Number of pages: 230
• Editor: Chowdhary Chiranji Lal, Tripathy Asis Kumar, Wu Yulei