Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Proceedings of MDCWC 2020 de

Éditeur :

Springer


Collection :

Lecture Notes in Electrical Engineering

Paru le : 2021-05-28

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
231,04

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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.
Pages
643 pages
Collection
Lecture Notes in Electrical Engineering
Parution
2021-05-28
Marque
Springer
EAN papier
9789811602887
EAN PDF
9789811602894

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
31017 Ko
Prix
231,04 €
EAN EPUB
9789811602894

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
158720 Ko
Prix
231,04 €