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System Design for Epidemics Using Machine Learning and Deep Learning

Artikelnummer: 978-3-031-19754-3
Einband: Kartonierter Einband (Kt)
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This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

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VerlagSpringer
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2024
Seitenangabe348 S.
AusgabekennzeichenEnglisch
MasseH23.5 cm x B15.5 cm x D1.9 cm 528 g
ReiheSignals and Communication Technology
AutorKanagachidambaresan, G. R. (Hrsg.) / Bhatia, Dinesh (Hrsg.) / Kumar, Dhilip (Hrsg.) / Mishra, Animesh (Hrsg.)

Alle Bände der Reihe "Signals and Communication Technology"

Über den Autor G. R. (Hrsg.) Kanagachidambaresan

G. R. Kanagachidambaresan is a professor in the Department of Computer Science and Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. He earned his PhD from Anna University in 2017. Presently, he is handling funded projects from ISRO, DBT, and DRDO. He has authored books and articles in the area of IoT, wireless networks, and expert systems. He has worked as a consultant for several leading MNC companies. He is the managing director of Eazythings Technology Private Limited and a TEC committee member of DBT. He is also the editor in chief of the Next Generation Computing and Communication Engineering series.Archana Naganathan has been an assistant professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, India, for the past 13 years. Her research interests cover the areas of power electronics, optimization techniques, and hybrid electric vehicles. She has received a travel grant from DST for an international conference and has completed a DST project on a deep learning-based animal intrusion detection system with a grant of 30 lakhs. Currently, she is working on an IIT-IPTIF project in the area of Edge AI. She has published a patent in the area of power converters for electric vehicle charging and has published around 40 papers in various journals and conferences. She has authored 4 books. She earned a PhD degree from Anna University, Chennai, India, in 2017.Niresh Jayarajan holds a doctorate degree in the field of optimization and has been with PSG College of Technology since 2011. His areas of research include electric and hybrid vehicles, automotive electronics and optimization by using soft computing techniques, and unmanned aerial vehicles (UAVs). He is guiding doctoral scholars in the area of UAVs and electric vehicle. He serves as a reviewer for prestigious journals including Elsevier and Springer publication. He has published around 58 international/national journals and around 7 national/international conferences in NIT/IIT institutes. In accordance, he has also published 7 books under a reputed publishing banner.Sheldon S. Williamson (Fellow, IEEE) earned a BE (Hons.) degree in electrical engineering from the University of Mumbai, Mumbai, India, in 1999. He earned MS and PhD (Hons.) degrees in electrical engineering from the Illinois Institute of Technology, Chicago, IL, USA, in 2002 and 2006, respectively. He is a professor in the Department of Electrical, Computer, and Software Engineering, and the director of Smart Transportation Electrification and Energy Research (STEER) Group, Faculty of Engineering and Applied Sciences, Ontario Tech University, Oshawa, ON, Canada. His research interests include advanced power electronics, electric energy storage systems, and motor drives for transportation electrification. He holds the prestigious NSERC Canada Research Chair position in electric energy storage systems for transportation electrification.

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