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Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems - Artificial Intelligence AI in Engineering
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Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems - Artificial Intelligence AI in Engineering
The manufacturing system is going through substantial changes and developments in the light of industry 4.0. Newer manufacturing technologies are being developed and applied. There is need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters.
262 pages, 93 Tables, black and white; 111 Line drawings, black and white; 9 Halftones, black and wh
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 8. oktobris |
| ISBN13 | 9780367532611 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 262 |
| Izmēri | 150 × 220 × 10 mm · 420 g |
| Valoda | Angļu |
| Redaktors | Kakandikar, Ganesh M. (Zeal College of Engineering & Research, Pune, Maharashtra, India) |
| Redaktors | Thakur, Dinesh G. (DIAT) |
