Titlebook: IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges; IOT, Data Science an Pradeep Kumar Singh,Sławom

Assignment

978-3-031-35785-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

广大

吞没

https://doi.org/10.1007/978-3-031-35783-1Internet of Things ( IOT); Big Data for Day to Day Life Applications; Data Science for Everyday Lives;

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monologue

An Analysis Study of Security Threats, Vulnerabilities Challenges of Cyber-Physical Systemsiew the state-of-the-art in CPS security, security threats and measures, vulnerabilities, cyber-attacks, and security challenges on cps’s like smart grid, smart vehicles, smart city, and smart health care.

构想

保留

textile

glans-penis

Clustering IoT Data Using Machine Learning Methods: A Surveyus traditional clustering algorithms, modern-clustering algorithms, parallel clustering algorithms, applications that need assistance of clustering for managing IoT data. The paper also discusses the evaluation measure for performance assessment used for cluster analysis.

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