Da: Majestic Books, Hounslow, Regno Unito
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. Vivek Kumar Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology at Sharda University, India. He received Ph.D. in Computer Science and Engineering from Natio.
Lingua: Inglese
Editore: Taylor & Francis Ltd Jul 2026, 2026
ISBN 10: 1032891394 ISBN 13: 9781032891392
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 105,05
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book: - Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. - Discusses the theoretical and practical applications of channel prediction and signal detection. - Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. - Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. - Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 200,22
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EUR 210,24
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EUR 211,71
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Da: California Books, Miami, FL, U.S.A.
EUR 214,11
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 214,21
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 213,35
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 221,00
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Da: Majestic Books, Hounslow, Regno Unito
EUR 228,58
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 220,99
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Da: California Books, Miami, FL, U.S.A.
EUR 240,31
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 227,94
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 227,93
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 254,06
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Da: Revaluation Books, Exeter, Regno Unito
EUR 279,20
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Aggiungi al carrelloHardcover. Condizione: Brand New. 304 pages. 9.18x6.12x9.21 inches. In Stock.
EUR 314,56
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Aggiungi al carrelloHardcover. Condizione: Brand New. 416 pages. 9.18x6.12x9.21 inches. In Stock.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. The effectiveness of federated learning in highperformance information systems and informaticsbased solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoTbased human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.Features:Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users privacyDescribes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated learning framework in cloudedge and wirelessedge architecture for intelligent IoT applicationsComprises reallife case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated learningbased intelligent algorithms for smart communications. The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1032891394 ISBN 13: 9781032891392
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book:Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology. The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: CitiRetail, Stevenage, Regno Unito
EUR 84,39
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. The effectiveness of federated learning in highperformance information systems and informaticsbased solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoTbased human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.Features:Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users privacyDescribes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated learning framework in cloudedge and wirelessedge architecture for intelligent IoT applicationsComprises reallife case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated learningbased intelligent algorithms for smart communications. The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.