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ISBN 10: 8176225355 ISBN 13: 9788176225359
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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Verlag: LAP LAMBERT Academic Publishing, 2025
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In den WarenkorbSoftcover. Zustand: Comme neuf. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Verlag: LAP Lambert Academic Publishing Sep 2012, 2012
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Taschenbuch. Zustand: Neu. Neuware -Restricted Neighborhood Search Algorithm(R.N.S.C)is a cost-based clustering technique for clustering the graph into separate clusters, where each cluster has some similar properties.Based on a practitioner's insights, the book focuses on the basic principles and dwells on the complex details of graph clustering using Restricted Neighbourhood Search. The book covers the following: Introduction Experimental results Test Data Random graph Color benchmark graph Parameter training and statistical results Cluster limit Diversification Tabu length Search length Graph coloringBooks on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.
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Verlag: LAP Lambert Academic Publishing, 2012
ISBN 10: 3659237132 ISBN 13: 9783659237133
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Taschenbuch. Zustand: Neu. GRAPH CLUSTERING USING RESTRICTED NEIGHBOURHOOD SEARCH ALGORITHM | AN ADVANCED STUDY OF IMPLEMENTATION AND BEHAVIOURAL ANALYSIS | Mohit Kumar (u. a.) | Taschenbuch | Paperback | 80 S. | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659237133 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: Hervorragend. Zustand: Hervorragend | Seiten: 432 | Sprache: Englisch | Produktart: Bücher | Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow¿s communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network. This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed editedbook emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.
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Taschenbuch. Zustand: Neu. 6G Enabled Fog Computing in IoT | Applications and Opportunities | Mohit Kumar (u. a.) | Taschenbuch | xvii | Englisch | 2024 | Springer | EAN 9783031301032 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 303130103X ISBN 13: 9783031301032
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow's communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network.This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed editedbook emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.
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