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Published by Springer Nature Switzerland, 2024
ISBN 10: 3031319540 ISBN 13: 9783031319549
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Taschenbuch. Condition: Neu. AI Models for Blockchain-Based Intelligent Networks in IoT Systems | Concepts, Methodologies, Tools, and Applications | Bharat Bhushan (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031319549 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 3031319540 ISBN 13: 9783031319549
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
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Published by Springer International Publishing, 2023
ISBN 10: 3031319516 ISBN 13: 9783031319518
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
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Published by Engineering Science Reference, 2018
ISBN 10: 1522556435 ISBN 13: 9781522556435
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Published by Engineering Science Reference, 2018
ISBN 10: 1668430045 ISBN 13: 9781668430040
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Published by Engineering Science Reference, 2018
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Published by Engineering Science Reference, 2018
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