Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare: Volume 14 ... applications for healthcare, Volume 14) - Softcover

Softcover

ISBN 10: 0323994210 ISBN 13: 9780323994217

Publisher: Academic Press, 2023

Synopsis

Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.

• Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare
• Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare
• Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications

About this title

About the Authors

Prof. Yassine Maleh is a cybersecurity professor and practitioner with industry and academic experience. He is a Ph.D. degree in Computer Sciences. Since 2019, He working as a professor of cybersecurity at Sultan Moulay Slimane University, Morocco. He worked for the National Port agency (ANP) in Morocco as a Senior Security Analyst from 2012 to 2019. He is a senior member of IEEE, a member of the International Association of Engineers and the Machine Intelligence Research Labs. Dr. Maleh has made contributions in information security and privacy, Internet of Things security, and wireless and constrained network security. His research interests include information security and privacy, Internet of Things, networks security, information system and IT governance. He has published over 60 papers (book chapters, international journals, conferences/workshops), 10 edited books, and 3 authored books. He is the editor-in-chief of the International Journal of Smart Security Technologies. He serves as an associate editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics, and the International Journal of Information Security and Privacy. He was also a guest editor of a special issue on 'Recent Advances on Cyber Security and Privacy for Cloud-of-Things' of the International Journal of Digital Crime and Forensics, Volume 10, Issue 3, July-September 2019.

Prof. Ahmed Abd El-Latif: (B.Sc. with honor rank in Mathematics and Computer Science in 2005, (M.Sc in Computer Science in 2010), and Ph. D. in Computer Science & Technology at Harbin Institute of Technology, Harbin, P. R. China in 2013. He is an associate professor of Computer Science at Menoufia University, Egypt and School of Information Technology and Computer Science, Nile University, Egypt. He is author and co-author of more than indexed 140 papers. He is a referee of many referred international repute journals and conferences. He received many awards, State Encouragement Award in Engineering Sciences 2016, Arab Republic of Egypt; the best Ph.D. student award from Harbin Institute of Technology, China 2013; Young scientific award, Menoufia University, Egypt 2014. He is a fellow at Academy of Scientific Research and Technology, Egypt. Dr. Abd El-Latif is an associate editor in several Scopus Journals and leading many Special issues in SCI journals.

Prof. Kevin Curran is a Professor of Cyber Security, Executive Co-Director of the Legal innovation Centre and group leader of the Ambient Intelligence & Web Technologies Research Group at Ulster University. He is also a senior member of the IEEE. Prof Curran is globally recognized as a security Top Influencer "IFSEC Global influencers in security and fire 2020" in category Security thought leadership. He was ranked #2.
Prof Curran is perhaps most well-known for his work on Internet security & location positioning evidenced by over 800 published works. His expertise has been acknowledged by invitations to present his work at international conferences, overseas universities and research laboratories. He is a regular contributor on TV & radio and in trade and consumer IT magazines with 1000+ interviews in recent years. He is currently the recipient of a Royal Academy of Engineering Senior Research Fellowship and is an IEEE Technical Expert for Internet Security. Professor Curran has performed external panel duties for various Higher Education Institutions and public bodies such as OFCOM and the National Institute for Health Research (NIHR).

Patrick Siarry was born in France in 1952. He received the Ph.D. degree in computer science and optimization from University Paris VI, Paris, France, in 1986, and the Doctorate of Sciences (Habilitation) degree in computer science and optimization from University Paris XI, Orsay, France, in 1994.,He was first involved in the development of analog and digital models of nuclear power plants with Electricité de France, Paris. Since 1995, he has been a Professor of Automatics and Informatics with Université Paris-Est Créteil, Créteil, France. His main research interests include computer-aided design of electronic circuits, cognitive intelligence, and the applications of new stochastic global optimization heuristics to various engineering fields, also including the fitting of process models to experimental data, the learning of fuzzy rule bases, and of neural networks.

From the Back Cover

Computational Intelligence for Medical Internet of Things (MIoT) Applications explores the machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. Many international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for classification, indexing, retrieval, analysis, and inferencing healthcare data.

This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series features new models, practical solutions, and technological advances in MI. It encourages the use of data science technology for MIoT to assist professionals and researchers in designing a new decision support system paradigm and considers the new possibilities associated with machine intelligence technologies.

Key Features:

• Presents the state-of-the-art in machine intelligence and related technologies and methodologies for MIoT in healthcare

• Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare

• Features new models, practical solutions, prototypes, frameworks, and technological advances related to machine intelligence for MIoT applications

Edition details

• Publisher: Academic Press
• Publication date: 2023
• ISBN 10: 0323994210
• ISBN 13: 9780323994217
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 372
• Editor: Maleh, El-Latif, Curran, Siarry