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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032548177 ISBN 13: 9781032548173
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Add to basketHardcover. Condition: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032548177 ISBN 13: 9781032548173
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Hardcover. Condition: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032548177 ISBN 13: 9781032548173
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Paperback. Condition: new. Paperback. The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030870588 ISBN 13: 9783030870584
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Hardcover. Condition: new. Hardcover. The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketHardcover. Condition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032548177 ISBN 13: 9781032548173
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Add to basketHardcover. Condition: new. Hardcover. This book comprehensively discusses the role of cloud computing in artificial intelligencebased datadriven systems and hybrid cloud computing for large datadriven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Thingsbased frameworks and advanced computing techniques to deal with online/virtual systems.This book: Covers the aspects of security, authentication, and prediction for datadriven systems in heterogeneous environments. Provides datadriven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decisionmaking for realtime problems. Showcases deep learningbased computer vision algorithms for enhanced pattern detection in different domains based on datacentric approaches. Examines the role of the Internet of Things and machine learning algorithms for datadriven systems. Highlights the applications of datadriven systems and cloud computing in enhancing network performance.This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering. This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
ISBN 10: 3030870588 ISBN 13: 9783030870584
Language: English
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Add to basketBuch. Condition: Neu. Neuware -The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch.
Published by Springer International Publishing, Springer Nature Switzerland Jan 2023, 2023
ISBN 10: 3030870618 ISBN 13: 9783030870614
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Add to basketTaschenbuch. Condition: Neu. Neuware -The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch.
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3030870618 ISBN 13: 9783030870614
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.
Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030870588 ISBN 13: 9783030870584
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.
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Add to basketHardcover. Condition: Brand New. 526 pages. 9.25x6.10x1.26 inches. In Stock.
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