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Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis - Chapman & Hall / Distributed Computing and Intelligent Data Analytics Series
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Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis - Chapman & Hall / Distributed Computing and Intelligent Data Analytics Series
This reference text aims to systematically collect quality research spanning AI, ML and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes.
144 pages, 21 Tables, black and white; 14 Line drawings, black and white; 46 Halftones, black and wh
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 28. jūnijs |
| ISBN13 | 9781032079592 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 122 |
| Izmēri | 243 × 160 × 16 mm · 354 g |
| Valoda | Angļu |
| Redaktors | Chakraborty, Sudeshna (Galgotias Uni, G.Noida) |
| Redaktors | Mathew, Jimson (IIT Patna) |
| Redaktors | Mazumdar, Arka Prokash (MNIT, Jaipur) |
| Redaktors | Roy, Sangita (TIET, Patiala, Punjab, India) |
| Redaktors | Subhra Chakraborty, Rajat (IIT KGP, India) |
