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Role of Internet of Things and Machine Learning in Smart Healthcare
- 1st Edition, Volume 137 - February 1, 2025
- Editor: Suyel Namasudra
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 2 3 8 6 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 2 3 8 7 - 7
Role of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardwa… Read more
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Request a sales quoteRole of Internet of Things and Machine Learning in Smart Healthcare, Volume 137 of the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Published since 1960, this series provides contributors with a medium to explore their subjects in greater depth and breadth than typical journal articles. Additionally, the book discusses the basic concepts of the Internet of Things (IoT) and Machine Learning (ML), along with their various applications in smart healthcare. It proposes novel techniques by integrating IoT, cloud computing, and ML algorithms to efficiently manage e-healthcare data and improve security. The volume also addresses research challenges and probable future directions in smart healthcare using IoT and ML, making it a comprehensive resource for researchers, practitioners, and students interested in advancing healthcare technologies.
- Provides in-depth surveys and tutorials on new computer technology, with this release focusing on IOT and Machine Learning in Smart Healthcare
- Presents well-known authors and researchers in the field
- Includes volumes that are devoted to single themes or subfields of computer science
Researchers in high performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science
1. Introducing the Internet of Things: Fundamentals, Challenges, and Applications
2. Introduction to Machine Learning: Fundamentals, Algorithms, Challenges, and Applications
3. Revolutionizing Patient Care: The Synergy of IoT and Machine Learning in Smart Healthcare
4. Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare Systems
5. Machine Learning-enabled IoT Applications for Smart Healthcare Systems
6. A Smart Healthcare System Using IoT and Machine Learning
7. Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm
8. A Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing
9. Improving Security of e-Healthcare Data by Using Machine Learning
10. Research Challenges and Future Work Directions in Smart Healthcare Using IoT and Machine Learning
2. Introduction to Machine Learning: Fundamentals, Algorithms, Challenges, and Applications
3. Revolutionizing Patient Care: The Synergy of IoT and Machine Learning in Smart Healthcare
4. Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare Systems
5. Machine Learning-enabled IoT Applications for Smart Healthcare Systems
6. A Smart Healthcare System Using IoT and Machine Learning
7. Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm
8. A Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing
9. Improving Security of e-Healthcare Data by Using Machine Learning
10. Research Challenges and Future Work Directions in Smart Healthcare Using IoT and Machine Learning
- No. of pages: 310
- Language: English
- Edition: 1
- Volume: 137
- Published: February 1, 2025
- Imprint: Academic Press
- Hardback ISBN: 9780443223860
- eBook ISBN: 9780443223877
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Suyel Namasudra
Suyel Namasudra has received PhD from the National Institute of Technology Silchar, Assam, India. He was a Postdoctorate Fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National
Institute of Technology Agartala, Dr. Namasudra was an Assistant Professor in the Department
of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, IoT, AI, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 75 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), MONE
(Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. Dr. Namasudra is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal, and he has participated in many international conferences as an organizer and session Chair. He is a member of IEEE, ACM,
and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 29.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India