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Springer International Publishing AG
Deep Learning in Ad-Hoc Wireless Networks
Deep Learning in Ad-Hoc Wireless Networks
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- More about Deep Learning in Ad-Hoc Wireless Networks
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.
- Publication date: 29 April 2025
- Page count: 123
- Dimensions: Height 235 mm; Width 155 mm
- Publisher: Springer International Publishing AG
- Format: Hardback
- ISBN-13: 9783031860744
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