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Intelligent Internet of Things for Healthcare and Industry

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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Bibliographic Details
Other Authors: Ghosh, Uttam (Editor), Chakraborty, Chinmay (Editor), Garg, Lalit (Editor), Srivastava, Gautam (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Internet of Things, Technology, Communications and Computing
Subjects:
Application Software
Telecommunication
Cyber-physical Systems
Communications Engineering, Networks
Cooperating Objects (computer Systems)
Computer And Information Systems Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of 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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