Deep Learning in Ad-hoc Wireless Networks - Couverture rigide

9783031860744: Deep Learning in Ad-hoc Wireless Networks

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ISBN 10 : 3031860748 ISBN 13 : 9783031860744

Editeur : Springer International Publishing AG, 2025

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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.

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�diteur: Springer International Publishing AG
Date d'�dition: 2025
Langue: anglais
ISBN 10: 3031860748
ISBN 13: 9783031860744
Reliure: Reli�
Nombre de pages: 128
�diteur: ALTAN Gokhan, ABASIKELEŞ TURGUT Ipek
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Deep Learning in Ad-Hoc Wireless Networks (eng)

ALTAN, Gokhan

Edit� par Springer, 2025

ISBN 10 : 3031860748 ISBN 13 : 9783031860744

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Deep Learning in ad-hoc Wireless Networks

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ISBN 10 : 3031860748 ISBN 13 : 9783031860744

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Deep Learning in Ad-Hoc Wireless Networks

Gokhan Altan

Edit� par Springer, Springer Apr 2025, 2025

ISBN 10 : 3031860748 ISBN 13 : 9783031860744

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 132 pp. Englisch. N� de r�f. du vendeur 9783031860744

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Deep Learning in Ad-Hoc Wireless Networks

Ipek Abasikele� Turgut

Edit� par Palgrave Macmillan, 2025

ISBN 10 : 3031860748 ISBN 13 : 9783031860744

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783031860744

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Deep Learning in Ad-Hoc Wireless Networks

Gokhan Altan

Edit� par Springer, Palgrave Macmillan Apr 2025, 2025

ISBN 10 : 3031860748 ISBN 13 : 9783031860744

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch. N� de r�f. du vendeur 9783031860744

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