Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844391878 ISBN 13: 9783844391879
Librería: moluna, Greven, Alemania
EUR 41,05
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 91,93
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: moluna, Greven, Alemania
EUR 50,66
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Idioma: Inglés
Publicado por Lap Lambert Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: Revaluation Books, Exeter, Reino Unido
EUR 114,72
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Añadir al carritoPaperback. Condición: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: preigu, Osnabrück, Alemania
EUR 53,25
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Añadir al carritoTaschenbuch. Condición: Neu. Performance Improvement Of The 2D Broadcast-based DSM Systems | By Message Operations | Ipek Abasikeles (u. a.) | Taschenbuch | 136 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659462498 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Francés
Publicado por Editions Notre Savoir, 2021
ISBN 10: 6203022950 ISBN 13: 9786203022957
Librería: moluna, Greven, Alemania
EUR 24,56
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 227,95
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EUR 181,89
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage 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.
Idioma: Holandés
Publicado por Uitgeverij Onze Kennis, 2021
ISBN 10: 6203022926 ISBN 13: 9786203022926
Librería: moluna, Greven, Alemania
EUR 24,56
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Librería: moluna, Greven, Alemania
EUR 24,56
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Idioma: Polaco
Publicado por Wydawnictwo Nasza Wiedza, 2021
ISBN 10: 6203022969 ISBN 13: 9786203022964
Librería: moluna, Greven, Alemania
EUR 24,56
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Idioma: Portugués
Publicado por Edicoes Nosso Conhecimento, 2021
ISBN 10: 6203022934 ISBN 13: 9786203022933
Librería: moluna, Greven, Alemania
EUR 24,56
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 61,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained. 136 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: Majestic Books, Hounslow, Reino Unido
EUR 97,60
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 98,86
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 61,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659462497 ISBN 13: 9783659462498
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 61,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A DSM system on 2D broadcast-based optical architecture is simulated by using OPNET Modeler and the performance of the system is improved by message priority and combining techniques under different traffic patterns, including uniform, hot region and bit permutations. The simulated system contains 64 nodes. Each node has a server that processes directory, cache and processor messages, two output channels and two input queues, one for horizontal and the other for vertical dimension. Scenarios are run to measure average network response time, average input waiting time and average channel waiting time for varying values of DSM parameters. The results show that combining reduces average channel waiting time between 13% and 29%, while priority reduces average input waiting time between 7% and 43% on average. With the application of message priority and combining, between 7% and 40% performance increase for average network response time has gained.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: moluna, Greven, Alemania
EUR 153,73
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Idioma: Inglés
Publicado por Springer, Springer Apr 2025, 2025
ISBN 10: 3031860748 ISBN 13: 9783031860744
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 181,89
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: preigu, Osnabrück, Alemania
EUR 159,40
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Deep Learning in Ad-Hoc Wireless Networks | Gokhan Altan (u. a.) | Buch | Studies in Big Data | v | Englisch | 2025 | Springer | EAN 9783031860744 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Apr 2025, 2025
ISBN 10: 3031860748 ISBN 13: 9783031860744
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 253,78
Cantidad disponible: 4 disponibles
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 252,71
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: moluna, Greven, Alemania
EUR 26,90
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Die Leistung von drei verzeichnisbasierten Cache-Kohaerenz-Protokollen Die strikte Anforderung-Antwort-, Interventionsweiterleitung und Antwortweiterleitung werden ueber eine Simulation auf dem SOME-Bus ausgewertet, einem Glasfaserverbindungsnetzwerk, das DS.