Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
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Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
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Seller: Revaluation Books, Exeter, United Kingdom
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Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032788135 ISBN 13: 9781032788135
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032891394 ISBN 13: 9781032891392
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032788135 ISBN 13: 9781032788135
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: 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.
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032891394 ISBN 13: 9781032891392
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Kaushal KishorHe received his Ph.D. in Computer science and engineering from AKTU Lucknow, in the domain of Mobile Ad hoc Network. M.Tech & B.Tech in Computer Science & Engineering from UPTU Lucknow. Currently, he is working in .
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032788127 ISBN 13: 9781032788128
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Federated Learning for Smart Communication using IoT Application | Kaushal Kishor (u. a.) | Buch | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032788128 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Intelligent Networks | Techniques, and Applications | Vivek Kumar Singh (u. a.) | Buch | Englisch | 2024 | CRC Press | EAN 9781032657950 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.