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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.
400 pages
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 21 de diciembre de 2022 |
| ISBN13 | 9781032261447 |
| Editores | Taylor & Francis Ltd |
| Páginas | 362 |
| Dimensiones | 242 × 162 × 25 mm · 658 g |
| Lengua | Inglés |
| 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) |
