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Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges - Intelligent Manufacturing and Industrial Engineering
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges - Intelligent Manufacturing and Industrial Engineering
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.
192 pages, 12 Tables, black and white; 28 Line drawings, black and white; 43 Halftones, black and wh
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 7, 2024 |
| ISBN13 | 9781032171548 |
| Publishers | Taylor & Francis Ltd |
| Pages | 192 |
| Dimensions | 150 × 220 × 10 mm · 312 g |
| Language | English |
| Editor | Elngar, Ahmed A. (Beni-Suef University, Egypt) |
| Editor | Jena, Om Prakash (Ravenshaw University, Cuttack) |
| Editor | Pramanik, Sabyasachi (Haldia Institute of Technology) |