Published by Singapore, Springer., 2021
ISBN 10: 981157233X ISBN 13: 9789811572333
Language: English
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Add to basketXVII, 998 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, 1245. Sprache: Englisch.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032047259 ISBN 13: 9781032047256
Language: English
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Published by LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763 ISBN 13: 9786200265760
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032047259 ISBN 13: 9781032047256
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT.This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering. This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. It includes pertinent applications and case studies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketCondition: New. pages cm First edition Includes bibliographical references and index.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032047259 ISBN 13: 9781032047256
Language: English
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Add to basketPaperback. Condition: new. Paperback. The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT.This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering. This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. It includes pertinent applications and case studies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condition: Brand New. 242 pages. 9.18x6.12x9.21 inches. In Stock.
Published by Springer Nature Singapore, 2022
ISBN 10: 981166126X ISBN 13: 9789811661266
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032047259 ISBN 13: 9781032047256
Language: English
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£ 60.69
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Add to basketPaperback. Condition: new. Paperback. The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT.This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering. This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. It includes pertinent applications and case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by CRC Press 2021-11-18, 2021
ISBN 10: 1032047232 ISBN 13: 9781032047232
Language: English
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Seller: Brook Bookstore, Milano, MI, Italy
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Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032621087 ISBN 13: 9781032621081
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032551070 ISBN 13: 9781032551074
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Published by Springer International Publishing, 2022
ISBN 10: 3030841812 ISBN 13: 9783030841812
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Published by Springer International Publishing, 2023
ISBN 10: 3030841847 ISBN 13: 9783030841843
Language: English
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Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030841812 ISBN 13: 9783030841812
Language: English
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032047232 ISBN 13: 9781032047232
Language: English
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