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Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems - Big Data for Industry 4.0
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Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems - Big Data for Industry 4.0
This book offers the latest advances and results in the fields of machine learning and deep learning for wireless communications and provides positive discussions on the challenges and prospects. It includes a broad spectrum in understanding the improvements motivated by specific constraints posed by wireless communications.
274 pages, 21 Tables, black and white; 115 Line drawings, black and white; 7 Halftones, black and wh
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 7. oktobris |
| ISBN13 | 9780367620080 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 274 |
| Izmēri | 150 × 220 × 10 mm · 530 g |
| Valoda | Angļu |
| Redaktors | Ching, Peter Ho Chiung (Sunway University, Malaysia) |
| Redaktors | Karthik, R. (VIT Chennai, India) |
| Redaktors | Rajesh, G. (MIT Campus) |
| Redaktors | Suganthi, K. (Vellore Institute of Technology) |
