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Deep Learning Approaches in Intelligent Wireless Networking - Computational Methods for Industrial Applications
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Deep Learning Approaches in Intelligent Wireless Networking - Computational Methods for Industrial Applications
This book covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and elaborates discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2026. gada 29. aprīlis |
| ISBN13 | 9781032998152 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 310 |
| Izmēri | 150 × 220 × 20 mm · 770 g |
| Redaktors | Bhushan, Bharat (Sharda University, India) |
| Redaktors | Chakraborty, Mithun |
| Redaktors | Nand, Parma (Sharda University, India) |
| Redaktors | Shankar, Achyut (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, U.P., India) |
| Redaktors | Sharma, Sudhir Kumar (Institute of Information Technology and Management, India) |
| Redaktors | Wajid, Mohd Anas |
