Deep Learning and IoT in Healthcare Systems: Paradigms and Applications

ISBN-13: 9781771889322 / Angielski / Twarda / 2021 / 332 str.

Krishna Kant Singh; Akansha Singh; Jenn-Wei Lin

Opis

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.

Spis treści

1. Deep Learning for Healthcare C. Deepa and K. Tharageswari 2. Role of AI in Healthcare Sonia Singla 3. Case Studies: Healthcare and Deep Learning Ashish Tripathi, Arun Kumar Singh, K. K. Mishra, Pushpa Choudhary, and Prem Chand Vashist 4. Assistive Devices and IoT in Healthcare Functions Abhineet Anand, Sai Prasad Mishra, and Subrata Sahana 5. Impact of IoT on Healthcare-Assistive Devices R. Indrakumari, Rishabh Kumar Srivastava, Subba, and Manavalan 6. Smart Fall Detection Systems for Elderly Care Pratik Bhattacharjee and Suparna Biswas 7. Smart Sensors Transform Healthcare System Amrita Rai, Shylaja Vinaykumar Karatangi, Reshu Agarwal, and Om Prakash 8. Healthcare Applications of the Internet of Things (IoT) Ritam Dutta, Subhadip Chowdhury, and Ahmed A Elngar 9. Mobile-App-Enabled System for Healthcare Vikram Sandhu and Harleen Kaur 10. Energy-Efficient Network Design for Healthcare Services Amit Sehgal, T. L. Singal, Rajeev Agrawal, and Sweta Sneha 11. Applying Data Mining to Detect the Mental State and Small Muscle Movements for Individuals with Autism Spectrum Disorder (ASD) Rashbir Singh, Prateek Singh, and Latika Kharb

O autorze

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, and fault-tolerant computing.
Ahmed A. Elngar, PhD, is the Founder and Head of Scientific Innovation Research Group and Assistant Professor in the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt, where he is also Director of the Technological and Informatics Studies Center. Dr. Elngar has published more than 25 scientific research papers and several books. He participates in many professional activities such as organizing workshops hosted by universities throughout Egypt.