Machine Learning Approaches for Convergence of IoT and Blockchain

Machine Learning Approaches for Convergence of IoT and Blockchain – Ebook Instant Download/Delivery ISBN(s): 9781119761747,1119761743,978-1119761877

Product details:

• ISBN 13:978-1119761877
• Author: Akansha Singh , Krishna Kant Singh , Sanjay K. Sharma

Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.

Table contents:

1 Blockchain and Internet of Things Across Industries

2 Layered Safety Model for IoT Services Through Blockchain

3 Internet of Things Security Using AI and Blockchain

4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime

5 Application of Machine Learning and IoT for Smart Cities

6 Machine Learning Applications for IoT Healthcare

7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study

8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT

9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT 

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