EUR 54,95
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 52,26
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 54,03
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EUR 63,02
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,25
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Editore: Springer Nature B.V. Dez 2022, 2022
ISBN 10: 981196291X ISBN 13: 9789811962912
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 56,80
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware.
Da: Chiron Media, Wallingford, Regno Unito
EUR 50,26
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Da: Chiron Media, Wallingford, Regno Unito
EUR 50,28
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 56,40
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,78
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 59,66
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Da: Revaluation Books, Exeter, Regno Unito
EUR 79,55
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Aggiungi al carrelloPaperback. Condizione: Brand New. 230 pages. 9.21x6.14x0.47 inches. In Stock.
Editore: Springer International Publishing, 2022
ISBN 10: 303118033X ISBN 13: 9783031180330
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
EUR 153,06
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EUR 147,53
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EUR 166,32
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Da: Best Price, Torrance, CA, U.S.A.
EUR 156,16
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 170,69
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EUR 175,22
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EUR 176,49
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Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032492473 ISBN 13: 9781032492476
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 152,14
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks and architectures for the adaptation and fusion of emerging technologies under Healthcare 5.0. The healthcare industry requires technological upgrades to provide precise, accurate, and automatic remote health monitoring and diagnosis. This reference book offers an early opportunity to explore emerging technologies and understand current issues, problems, and concepts.Health 5.0: Concepts, Challenges, and Solutions provides state-of-the-art research topics and opportunities of IoMT in personalized healthcare. It presents diversified IoMT applications for smart healthcare that supports lifestyle changes as a preventive measure and discusses health and care for all citizens to lead a good quality of life. The book illustrates the advancements of IoMT in augmented reality and AI and offers use-cases of edge computing for remote healthcare. The book also highlights the architectures, frameworks, and current research issues in IoMT and goes on to focus on sustainable healthcare for smart cities using edge computing, IoMT, and big data. The details of the development of advanced therapeutic instrumentation, along with the promotion of digital therapy, are also provided.The primary audience for this book includes academicians, researcher scholars, IoMT developers, cloud-based health application designers, and medical practitioners who are engaged in providing healthcare services using recent technologies. This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks for the adaptation and fusion of emerging technologies under Healthcare 5.0. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 177,20
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EUR 178,44
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 660.
Editore: Springer Nature Singapore, Springer Nature Singapore Dez 2023, 2023
ISBN 10: 9811962928 ISBN 13: 9789811962929
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
Editore: Springer Nature Singapore, Springer Nature Singapore Dez 2022, 2022
ISBN 10: 9811962898 ISBN 13: 9789811962899
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 171,19
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
EUR 174,33
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Editore: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811962928 ISBN 13: 9789811962929
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 175,77
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.
Da: California Books, Miami, FL, U.S.A.
EUR 186,10
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 177,18
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Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811962898 ISBN 13: 9789811962899
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 175,09
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.