Description: Intelligent Internet of Things for Healthcare and Industry

Intelligent Internet of Things for Healthcare and Industry [E-Book] / edited by Uttam Ghosh, Chinmay Chakraborty, Lalit Garg, Gautam Srivastava.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healt...

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Personal Name(s):	Chakraborty, Chinmay, editor
	Garg, Lalit, editor / Ghosh, Uttam, editor / Srivastava, Gautam, editor
Edition:	1st edition 2022.
Imprint:	Cham : Springer, 2022
Physical Description:	XV, 384 pages 120 illustrations, 108 illustrations in color (online resource)
Note:	englisch
ISBN:	9783030814731
DOI:	10.1007/978-3-030-81473-1
Series Title:	Internet of Things, Technology, Communications and Computing
Subject (LOC):	Application software. Cooperating objects (Computer systems). Telecommunication.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.