Machine Learning Approaches for Convergence of IoT and Blockchain

Machine Learning Approaches for Convergence of IoT and Blockchain
Author :
Publisher : John Wiley & Sons
Total Pages : 258
Release :
ISBN-10 : 9781119761877
ISBN-13 : 1119761875
Rating : 4/5 (875 Downloads)

Book Synopsis Machine Learning Approaches for Convergence of IoT and Blockchain by : Krishna Kant Singh

Download or read book Machine Learning Approaches for Convergence of IoT and Blockchain written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2021-07-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. 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. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Machine Learning Approaches for Convergence of IoT and Blockchain Related Books

Machine Learning Approaches for Convergence of IoT and Blockchain
Language: en
Pages: 258
Authors: Krishna Kant Singh
Categories: Computers
Type: BOOK - Published: 2021-07-16 - Publisher: John Wiley & Sons

GET EBOOK

MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT,
Blockchain and Machine Learning for IoT Security
Language: en
Pages: 164
Authors: Mourade Azrour
Categories: Computers
Type: BOOK - Published: 2024-02-09 - Publisher: CRC Press

GET EBOOK

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and networ
Machine Learning, Blockchain, and Cyber Security in Smart Environments
Language: en
Pages: 313
Authors: Sarvesh Tanwar
Categories: Computers
Type: BOOK - Published: 2022-08-31 - Publisher: CRC Press

GET EBOOK

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques form
Securing IoT in Industry 4.0 Applications with Blockchain
Language: en
Pages: 248
Authors: P Kaliraj
Categories: Computers
Type: BOOK - Published: 2021-12-03 - Publisher: CRC Press

GET EBOOK

The Industry 4.0 revolution is changing the world around us. Artificial intelligence and machine learning, automation and robotics, big data, Internet of Things
Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future
Language: en
Pages: 296
Authors: Sudhir K. Sharma
Categories: Computers
Type: BOOK - Published: 2021-07-08 - Publisher: Bentham Science Publishers

GET EBOOK

This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters pro