Da: Majestic Books, Hounslow, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 202,73
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 192,40
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 224,27
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 224,05
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EUR 204,33
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Aggiungi al carrelloCondizione: New. Examines the potential of edge computing and deep transfer learning, offering in-depth insights into how edge intelligence can be leveraged to enhance IoT and IIoT securityEmphasizes the development of lightweight and resource-efficient mod.
Lingua: Inglese
Editore: Elsevier Health Sciences Jan 2026, 2026
ISBN 10: 0443382972 ISBN 13: 9780443382970
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 285,38
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 148,78
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Elsevier Health Sciences, London, 2026
ISBN 10: 0443382972 ISBN 13: 9780443382970
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Edge Intelligence: Advanced Deep Transfer Learning for IoT Security This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 163,70
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Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.25x7.50x9.25 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Health Sciences, London, 2026
ISBN 10: 0443382972 ISBN 13: 9780443382970
Da: CitiRetail, Stevenage, Regno Unito
EUR 164,56
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.