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International Conference on IoT, Intelligent Computing and Security
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Select Proceedings of IICS 2021
eBook
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Artikel-Nr:
9789811981364
Veröffentl:
2023
Einband:
eBook
Seiten:
484
Autor:
Rajeev Agrawal
Serie:
982, Lecture Notes in Electrical Engineering
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.
This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.
Internet of Medical Things Enabled by Permissioned Blockchain on Distributed Storage.- Wearable Location Tracker for Emergency Management.- A review of Machine Learning Techniques (MLT) in Health Informatics.- A Task Scheduling Algorithm for Optimizing Quality of Service in Smart Healthcare System.- Comparative Study of machine learning models for early detection of
Parkinson's.- Mining Repository for Module Reuse: A Machine Learning Based Approach.