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Intelligent Internet of Things for Healthcare and Industry
Title
Intelligent Internet of Things for Healthcare and Industry [electronic resource] / edited by Uttam Ghosh, Chinmay Chakraborty, Lalit Garg, Gautam Srivastava.
ISBN
9783030814731
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XV, 384 p.) 120 illus., 108 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 07, 2022
Series
Internet of Things, Technology, Communications and Computing,
Contents
Chapter 1. Effectiveness of machine and deep learning in IoT enabled devices for healthcare system
Chapter 2. Network protocols for the internet of health things
Chapter 3. Affective computing for eHealth using low cost remote internet-of-things based EMG platform
Chapter 4. Application of internet of things (IoT) to fight Covid-19 epidemic
Chapter 5. An enhanced IoT based array of sensors for monitoring patients health
Chapter 6. A secured smart healthcare monitoring systems using blockchain technology
Chapter 7. Computational intelligence in healthcare with special emphasis on bioinformatics and internet of medical things
Chapter 8. A review on security and privacy of internet of medical things
Chapter 9. An Introduction to Wearable Sensor Technology
Chapter 10. A fog based intelligent secured IoMT framework for early diabetes prediction
Chapter 11. A comprehensive analysis of sustainable IoT infrastructure in the post-covid-19 era
Chapter 12. Reinforced rider optimization algorithm for diagnosis of autism spectrum disorder and medical data
Chapter 13. Machine Learning for Fog Computing Based IoT Networks in Smart City Environment
Chapter 14. QoS and Energy Efficiency Using Green Cloud Computing
Chapter 15. Privacy issues in smart IoT for Healthcare and Industry
Chapter 16. Intelligent IoT for automotive industry 4.0 - challenges, opportunities, and future trends
Chapter 17. Smart security for industrial and healthcare IoT applications.
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