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Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices - Computational Methods for Industrial Applications
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Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices - Computational Methods for Industrial Applications
The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication.
348 pages, 63 Tables, black and white; 127 Line drawings, black and white; 16 Halftones, black and w
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 7, 2024 |
| ISBN13 | 9781032261454 |
| Publishers | Taylor & Francis Ltd |
| Pages | 348 |
| Dimensions | 150 × 220 × 10 mm · 560 g |
| Language | English |
| Editor | Anisha, P. R (Stanley Col of Engg and Tech for Women, India) |
| Editor | Bhushan, Megha (DIT Uni, India) |
| Editor | Kumar, Ashok (Chitkara Uni, India) |
| Editor | Mohd Hanafiah, Marlia (UKM, Malaysia) |
| Editor | Nguyen, Nhu Gia (Duy Tan Uni, Vietnam) |
| Editor | Reddy, C. Kishor Kumar (Stanley Col of Eng and Tech for Women, India) |
