Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing
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 7 October 2024
- ISBN 9781032171548
- Binding Paperback
- No. of pages204 pages
- Size 234x156 mm
- Weight 312 g
- Language English
- Illustrations 71 Illustrations, black & white; 43 Halftones, black & white; 28 Line drawings, black & white; 12 Tables, black & white 602
Categories
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.
MoreLong 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.
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
Table of Contents:
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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