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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems: Research Innovations and Trends
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. First edition Includes bibliographical references and index.
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 105,50
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Computer Vision and Recognition Systems: Research Innovations and Trends
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 118,61
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 118,60
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Libro 14 di 16: Computing and NetworksLingua: Inglese
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
Libro 14 di 16: Computing and NetworksLingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
EUR 141,15
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Aggiungi al carrelloHardback. Condizione: New. Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery. The book will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Libro 14 di 16: Computing and NetworksLingua: Inglese
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 127,69
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Computer Vision and Recognition Systems: Research Innovations and Trends
Da: Revaluation Books, Exeter, Regno Unito
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EUR 135,02
Spedizione EUR 11,56
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 272 pages. 9.00x6.00x9.00 inches. In Stock.
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Artificial Intelligence and Digital Transformation (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 303200117X ISBN 13: 9783032001177
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. This book offers a selection of the best papers presented at the International scientific conference Digital Transformation in Industry: Trends, Management, Strategies, held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on December 1617, 2024.Focusing on the practical implementation of artificial intelligence and digital technologies in industrial settings, the book explores cutting-edge solutions for managing digital transformation across sectors and regions. The chapters cover a wide range of topics, including AI-based sustainable industrial practices, lean-based digital integration, intelligent logistics and digital supply chain innovations, cloud-edge data architectures, the organization of cyber-physical systems, and scientific and technological development.Emphasizing both theoretical frameworks and real-world implementation, the book is essential for scientists, industry professionals, policymakers, and researchers seeking to understand and leverage AI and digital technologies for strategic advancement and competitive advantage. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
EUR 156,96
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Aggiungi al carrelloHardback. Condizione: New. Industry 5.0 is the upcoming industrial revolution where people will be working together with smart machines and robots, thereby bringing human touch and intelligence back to the decision-making process. Challenges include the security and privacy of sensitive multimedia data and near zero latency for mission critical applications. Federated learning is a machine learning technique that trains algorithms across multiple decentralized edge devices or servers by holding local data samples without exchanging them. This approach stands in contrast to traditional centralized machine learning techniques where all local datasets are uploaded to one server. This method enables multiple actors to build a common, robust machine learning model without sharing data, thus addressing critical issues such as data privacy, data security, data access rights and access to heterogeneous data. The objective of this book is to show how federated learning can solve multimedia data processing and security challenges in Industry 5.0. The book introduces new research paradigms for the security and privacy preservation of multimedia data. It provides a detailed discussion on how federated learning can be used to handle big data, preserve privacy, reduce computational and communication costs; and shows how to integrate federated learning with other disruptive technologies including blockchain, digital twins and 5G and beyond. Federated Learning for Multimedia Data Processing and Security in Industry 5.0 is an essential reference for advanced students, lecturers, and academic and industry researchers working in the fields of machine learning federated learning, computer and network security, data science, multimedia, computer vision and Industry 5.0 applications.
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Computer Vision and Recognition Systems: Research Innovations and Trends Hardcover ? October 1, 2021
Da: Majestic Books, Hounslow, Regno Unito
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EUR 150,99
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Computer Vision and Recognition Systems: Research Innovations and Trends Hardcover ? October 1, 2021
Da: Books Puddle, New York, NY, U.S.A.
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Artificial Intelligence and Digital Transformation (Paperback)
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 303200117X ISBN 13: 9783032001177
Da: CitiRetail, Stevenage, Regno Unito
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EUR 123,26
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book offers a selection of the best papers presented at the International scientific conference Digital Transformation in Industry: Trends, Management, Strategies, held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on December 1617, 2024.Focusing on the practical implementation of artificial intelligence and digital technologies in industrial settings, the book explores cutting-edge solutions for managing digital transformation across sectors and regions. The chapters cover a wide range of topics, including AI-based sustainable industrial practices, lean-based digital integration, intelligent logistics and digital supply chain innovations, cloud-edge data architectures, the organization of cyber-physical systems, and scientific and technological development.Emphasizing both theoretical frameworks and real-world implementation, the book is essential for scientists, industry professionals, policymakers, and researchers seeking to understand and leverage AI and digital technologies for strategic advancement and competitive advantage. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0 (Computing and Networks)
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 150,84
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Libro 14 di 16: Computing and NetworksLingua: Inglese
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 147,79
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: The Institution of Engineering and Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 147,79
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Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Libro 14 di 16: Computing and NetworksLingua: Inglese
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839533234 ISBN 13: 9781839533235
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 148,16
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Computer Vision and Recognition Systems : Research Innovations and Trends
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 156,84
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. Industry 5.0 is the upcoming industrial revolution where people will be working together with smart machines and robots, thereby bringing human touch and intelligence back to the decision-making process. Challenges include the security and privacy of sensitive multimedia data and near zero latency for mission critical applications. Federated learning is a machine learning technique that trains algorithms across multiple decentralized edge devices or servers by holding local data samples without exchanging them. This approach stands in contrast to traditional centralized machine learning techniques where all local datasets are uploaded to one server. This method enables multiple actors to build a common, robust machine learning model without sharing data, thus addressing critical issues such as data privacy, data security, data access rights and access to heterogeneous data. The objective of this book is to show how federated learning can solve multimedia data processing and security challenges in Industry 5.0. The book introduces new research paradigms for the security and privacy preservation of multimedia data. It provides a detailed discussion on how federated learning can be used to handle big data, preserve privacy, reduce computational and communication costs; and shows how to integrate federated learning with other disruptive technologies including blockchain, digital twins and 5G and beyond. Federated Learning for Multimedia Data Processing and Security in Industry 5.0 is an essential reference for advanced students, lecturers, and academic and industry researchers working in the fields of machine learning federated learning, computer and network security, data science, multimedia, computer vision and Industry 5.0 applications.
-
Computer Vision and Recognition Systems: Research Innovations and Trends
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 163,55
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Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Lingua: Inglese
Editore: Inst of Engineering & Technology, 2025
ISBN 10: 1839537574 ISBN 13: 9781839537578
Da: Revaluation Books, Exeter, Regno Unito
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EUR 166,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 350 pages. 9.21x6.14x9.21 inches. In Stock.
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EUR 113,10
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial Intelligence and Digital Transformation | From Innovation to Implementation | Fei Tao (u. a.) | Taschenbuch | xxiv | Englisch | 2025 | Springer | EAN 9783032001177 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
