Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Theoretical Basics, Applications, and Challenges

Elngar, Ahmed A.; Jena, Om Prakash; Pramanik, Sabyasachi

Taylor & Francis Ltd

10/2024

192

Mole

9781032171548

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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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Smart Engineering;Internet of Things;Digital Transformation;Quality Control;Continuous Improvement;Circular Economy;IoT Device;Blockchain Technology;Blockchain Application;Fine Grained Access Control;Smart Contracts;IoT Security;IoT Application;Ml Algorithm;Business Processes;Green Data Points;IIoT;Ml Model;Big Data;Merkle Tree;Cloud Services;BFT;GSM Module;PIR Sensor;Gps Module;QNN;Ultrasonic Sensor;CE Concept;Quantum Computing;Random Forest Algorithm;Random Forest