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portada Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of Mdcwc 2020
Type
Physical Book
Publisher
Language
Inglés
Pages
643
Format
Paperback
Dimensions
23.4 x 15.6 x 3.4 cm
Weight
0.92 kg.
ISBN13
9789811602917

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of Mdcwc 2020

Gopi, E. S. (Author) · Springer · Paperback

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of Mdcwc 2020 - Gopi, E. S.

New Book

£ 254.04

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Wednesday, August 14 and Wednesday, August 21.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of Mdcwc 2020"

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, powercontrol, 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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