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Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of MDCWC 2020 Hardback - 2021
by Gopi, E. S. (Edited by)
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- Hardback
A$562.43
A$47.82
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Details
- Title Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of MDCWC 2020
- Author Gopi, E. S. (Edited by)
- Binding Hardback
- Condition New
- Pages 643
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2021
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # x-9811602883
- ISBN 9789811602887 / 9811602883
- Weight 2.42 lbs (1.10 kg)
- Dimensions 9.21 x 6.14 x 1.44 in (23.39 x 15.60 x 3.66 cm)
- Category Technology & Industrial Arts
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
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From the publisher
From the rear cover
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.
