Hierarchical Growing Neural Gas Network (HGNG)-based semi-cooperative: Second Edition - Couverture souple

Aziz Ayoob, Ayoob ; Su, Gang ; Al Khalil, Ghaith

9786209172281: Hierarchical Growing Neural Gas Network (HGNG)-based semi-cooperative: Second Edition

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ISBN 10 : 6209172288 ISBN 13 : 9786209172281

Editeur : LAP LAMBERT Academic Publishing, 2025

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6209172288
ISBN 13: 9786209172281
Reliure: Broch�
Nombre de pages: 72
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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Hierarchical Growing Neural Gas Network (HGNG)-based semi-cooperative

Ayoob Aziz Ayoob

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209172288 ISBN 13 : 9786209172281

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch. N� de r�f. du vendeur 9786209172281

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Hierarchical Growing Neural Gas Network (HGNG)-based semi-cooperative : Second Edition

Ayoob Aziz Ayoob

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6209172288 ISBN 13 : 9786209172281

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last decades there were many IT related areas which witness expansion and dramatic development in their technology in every day's life. One of these IT related areas can be noticed at Vehicle Ad Hoc Network or (VANET)s. VANET is one of the developing technologies that will change the network and communication industry. The goal of vehicular networks is to provide an efficient, safe, and convenient environment for vehicles on the road. Yet this technology was not error free and incorporate a lot of risk and security threats. As vehicular Ad hoc Network (VANET) needs security to implement the wireless environment and serves users with safety and non-safety applications. Attackers generate different attacks in this life saving vehicular network. Here in this book the authors will discuss these issues and provide a solution for the security problem in a way that will help other academic researchers in this field to adopt or to benefit from these ideas and solutions. They also target any other reader which has the potential and the understanding in the field of IT security which this book will help him to improve his understanding in this field or the field of vehicle network. N� de r�f. du vendeur 9786209172281

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Hierarchical Growing Neural Gas Network (HGNG)-based semi-cooperative

Ayoob Aziz Ayoob

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209172288 ISBN 13 : 9786209172281

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last decades there were many IT related areas which witness expansion and dramatic development in their technology in every day's life. One of these IT related areas can be noticed at Vehicle Ad Hoc Network or (VANET)s. VANET is one of the developing technologies that will change the network and communication industry. The goal of vehicular networks is to provide an efficient, safe, and convenient environment for vehicles on the road. Yet this technology was not error free and incorporate a lot of risk and security threats. As vehicular Ad hoc Network (VANET) needs security to implement the wireless environment and serves users with safety and non-safety applications. Attackers generate different attacks in this life saving vehicular network. Here in this book the authors will discuss these issues and provide a solution for the security problem in a way that will help other academic researchers in this field to adopt or to benefit from these ideas and solutions. They also target any other reader which has the potential and the understanding in the field of IT security which this book will help him to improve his understanding in this field or the field of vehicle network.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 72 pp. Englisch. N� de r�f. du vendeur 9786209172281

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