Deep Learning in Ad-Hoc Wireless Networks



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Éditeur :

Springer


Paru le : 2025-04-28



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Description

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks.
Pages
123 pages
Collection
n.c
Parution
2025-04-28
Marque
Springer
EAN papier
9783031860744
EAN PDF
9783031860751

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
8294 Ko
Prix
158,24 €
EAN EPUB
9783031860751

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
16200 Ko
Prix
158,24 €

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