Machine Learning in Communication Systems and Networks

ISBN 10: 3725807256 / ISBN 13: 9783725807253

Published by MDPI AG, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a promising tool to tackle the challenge posed by increasingly complex, heterogeneous, and dynamic communication environments. It holds the potential to contribute to the intelligent management and optimization of communication systems and networks by enabling us to predict changes, find patterns of uncertainties in the communication environment, and make data-driven decisions. This Topic seeks to explore the intersection of machine learning and communication research, showcasing a compilation of cutting-edge contributions which underscore the transformative potential of machine learning as a driving force behind adaptive and intelligent communication.

Seller Inventory # 9783725807253

Bibliographic Details

• Title: Machine Learning in Communication Systems and Networks
• Publisher: MDPI AG
• Publication Date: 2024
• Language: English
• ISBN 10: 3725807256
• ISBN 13: 9783725807253
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 30D millimeters 250 millimeters width by 175 millimeters height by 30 millimeters depth
• Weight: 1194 grams

About this title

Synopsis

Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a promising tool to tackle the challenge posed by increasingly complex, heterogeneous, and dynamic communication environments. It holds the potential to contribute to the intelligent management and optimization of communication systems and networks by enabling us to predict changes, find patterns of uncertainties in the communication environment, and make data-driven decisions. This Topic seeks to explore the intersection of machine learning and communication research, showcasing a compilation of cutting-edge contributions which underscore the transformative potential of machine learning as a driving force behind adaptive and intelligent communication.