Deep Learning and IoT in Healthcare Systems: Paradigms and Applications [Paperback]

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide.

Krishna Kant Singh, PhD, is Professor in Computer Science and Engineering, Faculty of Engineering and Technology, Jain (Deemed-to-be University), Bengaluru, India. He has wide teaching and research experience. He has authored more than 50 research papers in Scopus- and SCIE-indexed journals as well as 25 technical books. He is also Associate Editor of the Journal of Intelligent & Fuzzy Systems and IEEE ACCESS and a guest editor of Open Computer Science. He is also a member of the editorial board for Applied Computing & Geoscience.
Akansha Singh, PhD, is Associate Professor in the Department of Computer Science and Engineering, ASET, Amity University, Noida, India. She has to her credit more than 40 research papers, 20 books, and numerous conference papers. She has been the editor for books on emerging topics and has served as a reviewer and technical committee member for multiple conferences and journals. She is also the Associate Editor for IEEE Access. Dr. Singh has also undertaken a government-funded project as a principal investigator. Her research areas include image processing, remote sensing, IoT, and machine learning.
Jenn-Wei Lin, PhD, is Professor with the Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan. Prior to that, he was a researcher with Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan, from 1993 to 2001. His current research interests include cloud computing, mobile computing and networks, distributed systems,lÓÏ