Deep Learning and Swarm Optimization in Modern Network Routing and Security

Published by Beakers Bay Aug 2026, 2026

ISBN 13: 9798182718301

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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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This item is printed on demand - Print on Demand Titel. Neuware -Deep Learning and Swarm Optimization in Modern Network Routing and Security provides a comprehensive technical exploration of combining artificial intelligence and bio-inspired metaheuristics to address complex network challenges. As modern telecommunication architectures grow in scale and dynamic density, traditional deterministic routing protocols and static security frameworks struggle with traffic congestion, adaptive threats, and quality of service requirements. This volume establishes the theoretical foundations, algorithmic integration strategies, and computational models needed to engineer intelligent, resilient network control mechanisms.The text examines deep neural network architectures for predictive traffic modeling, dynamic bandwidth allocation, and automated anomaly detection alongside swarm intelligence paradigms such as ant colony and particle swarm optimization. It covers feature representation, loss function formulation, dynamic path selection algorithms, and multi-objective optimization under dynamic topology variations. Designed for network engineers, cybersecurity researchers, and telecommunications software developers, this book delivers analytical clarity for building adaptive routing and security protocols. 154 pp. Englisch.

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Bibliographic details

Title
Deep Learning and Swarm Optimization in Modern Network Routing and Security
Author
Shezwani
Publisher
Beakers Bay Aug 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Item weight
234 grams
Dimensions
229x152x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

Shipping rates from Germany to U.S.A.

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