Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges

ISBN-13: 9781032171531 / Angielski / Twarda / 2022 / 192 str.

Om Prakash Jena; Sabyasachi Pramanik; Ahmed A. Elngar

Opis

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.

Spis treści

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.