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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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 29, 2026 |
| ISBN13 | 9781032998152 |
| Publishers | Taylor & Francis Ltd |
| Pages | 310 |
| Dimensions | 150 × 220 × 20 mm · 770 g |
| Editor | Bhushan, Bharat (Sharda University, India) |
| Editor | Chakraborty, Mithun |
| Editor | Nand, Parma (Sharda University, India) |
| Editor | Shankar, Achyut (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, U.P., India) |
| Editor | Sharma, Sudhir Kumar (Institute of Information Technology and Management, India) |
| Editor | Wajid, Mohd Anas |
