Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

£199.50

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Proceedings of MDCWC 2020

Communications engineering / telecommunications WAP (wireless) technology Network hardware Artificial intelligence

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Collection: Lecture Notes in Electrical Engineering

Language: English

Published by: Springer

Published on: 28th May 2021

Format: LCP-protected ePub

Size: 155 Mb

ISBN: 9789811602894


Conference Details

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.

Topics Covered

The presented papers are grouped under the following topics:

  • Machine Learning, Deep Learning and Computational Intelligence algorithms
  • Wireless communication systems
  • Mobile data applications

Research Areas

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.

Intended Audience

The book is a rich reference material for academia and industry.

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