Del 137 - Advances in Computers

Role of Internet of Things and Machine Learning in Smart Healthcare

Inbunden, Engelska, 2025

2 459 kr

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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 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

Produktinformation

Utgivningsdatum2025-02-04
Mått152 x 229 x undefined mm
Vikt620 g
FormatInbunden
SpråkEngelska
SerieAdvances in Computers
Antal sidor396
FörlagElsevier Science
MedarbetareNamasudra,Suyel
ISBN9780443223860

Tillhör följande kategorier

Programmeringsböcker inom Data och IT
Matematik inom Naturvetenskap och teknik

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 NationalInstitute of Technology Agartala, Dr. Namasudra was an Assistant Professor in the Departmentof 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.

1. Introducing the Internet of Things: Fundamentals, Challenges, and Applications2. Introduction to Machine Learning: Fundamentals, Algorithms, Challenges, and Applications3. Revolutionizing Patient Care: The Synergy of IoT and Machine Learning in Smart Healthcare4. Security, Privacy, and Trust Management of IoT and Machine Learning-based Smart Healthcare Systems5. Machine Learning-enabled IoT Applications for Smart Healthcare Systems6. A Smart Healthcare System Using IoT and Machine Learning7. Predicting and Diagnosis of COVID-19 based on IoT and Machine Learning Algorithm8. A Novel Scheme for Managing e-Healthcare Data Using IoT and Cloud Computing9. Improving Security of e-Healthcare Data by Using Machine Learning10. Research Challenges and Future Work Directions in Smart Healthcare Using IoT and Machine Learning