Machine Learning Adoption in Blockchain-based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges
- Length: 192 pages
- Edition: 1
- Language: English
- Publisher: CRC Pr I Llc
- Publication Date: 2022-06-22
- ISBN-10: 1032171537
- ISBN-13: 9781032171531
- Sales Rank: #0 (See Top 100 Books)
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.
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. The book 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 which can fill the gap between research and industrial exposure. The book goes on to cover the effects that the 4th industrial revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are speeding up industrial transformation activities.
Researchers, scholars, and students from different countries will purchase this book for real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers.
Cover Half Title Series Title Copyright Contents Preface Editors Chapter 1 Integration of Big Data, Machine Learning, and Blockchain Technology Chapter 2 Blockchain in Digital Libraries: State of the Art, Trends, and Challenges Chapter 3 An Integration of Blockchain and Machine Learning into the Health Care System Chapter 4 Blockchain for the Industrial Internet of Things Chapter 5 Security Measures for Blockchain Technology Chapter 6 An Analysis of Data Management in Industry 4.0 Using Big Data Analytics Chapter 7 Exploring Role of Industry 4.0 Techniques for Building a Promising Circular Economy Concept: Manufacturing Industry Perspective Chapter 8 Comparative Analysis of Blockchain-Based Consensus Algorithms for Suitability in Critical IoT Infrastructures Chapter 9 Quantum Machine Learning and Big Data for Real-Time Applications: A Review Chapter 10 Sensors-Based Automatic Human Body Detection and Prevention System to Avoid Entrapment Casualties inside a Vehicle Chapter 11 A Mechanism to Protect Decentralized Transaction Using Blockchain Technology Index
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