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…mehr
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.
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Inhaltsangabe
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 ofParkinson's.- Mining Repository for Module Reuse: A Machine Learning Based Approach.
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 ofParkinson's.- Mining Repository for Module Reuse: A Machine Learning Based Approach.
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