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Machine learning and deep learning techniques in wireless and mobile networking systems / edited by K. Suganthi [and three others].

Additional authors: Suganthi, K., editor.
Published by : CRC Press, (Boca Raton, FL :) Physical details: ix, 274 pages : illustrations ; 24 cm. ISBN: 9780367620066. Year: 2022
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Includes bibliographical references and index.


Table of Contents

1. Machine Learning Driven Design and Optimization of Mobile/Wireless System.
2. Intelligent Algorithm and Techniques for Effective Wireless Communication.
3. Machine Learning Based Intelligent Protocols.
4. Intelligent Schemes with Machine Learning and Deep Learning for Congestion Control.
5. Resource Allocation and Optimization in Wireless Network Using Machine Learning and Deep Learning.
6. Data Analysis and Security Schemes.
7. Applications of Machine Learning and Deep Learning.
8. Multimedia Communication.
9. Energy Management.

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems.

The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications.

The book is written as a reference that offers the latest technologies and research results to various industry problems.

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