Machine learning, deep learning and computational intelligence for wireless communication : proceedings of MDCWC 2020 / E. S. Gopi, editor.
This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, Nati...
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2021]
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| Series: | Lecture notes in electrical engineering ;
v. 749. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry. |
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| Item Description: | "It was conducted completely in the virtual mode from 22 to 24 October 2020."-- Preface. |
| Physical Description: | 1 online resource (xix, 643 pages) : illustrations (some colour). |
| ISBN: | 9811602883 9789811602887 9811602891 9789811602894 |
| ISSN: | 1876-1100 ; |