Code: 39206189

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Name: Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Brand: Springer Verlag, Singapore
SKU: 39206189
Price: 272.41 EUR
Availability: InStock

by E. S. Gopi

Language: English
Binding: Paperback
Number of pages: 643
Publisher: Springer Verlag, Singapore, 2022
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Book synopsis

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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Book category Books in English Computing & information technology Computer science Artificial intelligence

272.41 €

Full title: Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Subtitle: Proceedings of MDCWC 2020
Author: E. S. Gopi
Language: English
Binding: Paperback
Number of pages: 643
EAN: 9789811602917
ID: 39206189
Publisher: Springer Verlag, Singapore
Weight: 1003 g
Dimensions: 235 × 155 × 36 mm
Date of publishing: 30. May 2022