Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing by Jena, Om Prakash; Pramanik, Sabyasachi; Elngar, Ahmed A.;

Theoretical Basics, Applications, and Challenges

Series: Intelligent Manufacturing and Industrial Engineering;

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Product details:

Edition number 1
Publisher CRC Press
Date of Publication 22 June 2022

ISBN 9781032171531
Binding Hardback
No. of pages204 pages
Size 234x156 mm
Weight 420 g
Language English
Illustrations 71 Illustrations, black & white; 43 Halftones, black & white; 28 Line drawings, black & white; 12 Tables, black & white

Short description:

This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity.

Long description:

This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities.

Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers.

Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing

Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation

Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure

Covers the effects that the 4th Industrial Revolution has on industrial infrastructures

Looks at industry change patterns and innovations that are speeding up industrial transformation activities

1. Integration of Big Data, Machine Learning, and Blockchain Technology. 2. Blockchain in Digital Libraries: State of the Art, Trends, and Challenges. 3. An Integration of Blockchain and Machine Learning into the Health Care System. 4. Blockchain for the Industrial Internet of Things. 5. Security Measures for Blockchain Technology. 6. An Analysis of Data Management in Industry 4.0 Using Big Data Analytics. 7. Exploring Role of Industry 4.0 Techniques for Building a Promising Circular Economy Concept: Manufacturing Industry Perspective. 8. Comparative Analysis of Blockchain-Based Consensus Algorithms for Suitability in Critical IoT Infrastructures. 9. Quantum Machine Learning and Big Data for Real-Time Applications: A Review. 10. Sensors-Based Automatic Human Body Detection and Prevention System to Avoid Entrap Mortality inside a Vehicle. 11. A Mechanism to Protect Decentralized Transaction Using Blockchain Technology.

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