Fortell venner om denne varen:
Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices - Computational Methods for Industrial Applications
Pris
NOK 919
Bestillingsvarer
Forventes levert 29. okt - 12. nov
Julegaver kan byttes frem til 31. januar
Legg til iMusic ønskeliste
eller
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 7. oktober 2024 |
| ISBN13 | 9781032261454 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 348 |
| Mål | 150 × 220 × 10 mm · 560 g |
| Språk | Engelsk |
| Redaktør | Anisha, P. R (Stanley Col of Engg and Tech for Women, India) |
| Redaktør | Bhushan, Megha (DIT Uni, India) |
| Redaktør | Kumar, Ashok (Chitkara Uni, India) |
| Redaktør | Mohd Hanafiah, Marlia (UKM, Malaysia) |
| Redaktør | Nguyen, Nhu Gia (Duy Tan Uni, Vietnam) |
| Redaktør | Reddy, C. Kishor Kumar (Stanley Col of Eng and Tech for Women, India) |
