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Published by Bentham Science Publishers, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Language: English
Published by Bentham Science Publishers, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Bentham Science Publishers, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Language: English
Published by Bentham Science Publishers, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Add to basketPaperback. Condition: Brand New. 266 pages. 9.00x5.94x0.71 inches. In Stock.
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Language: English
Published by Elsevier Science Publishing Co Inc, 2024
ISBN 10: 0443134723 ISBN 13: 9780443134722
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Published by Bentham Science Publishers Singapore Pte. Ltd., 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Paperback. Condition: new. Paperback. This book explores cutting-edge methodologies, integration strategies, and secure frameworks that combine AI capabilities with IoT systems to enhance performance, decision-making, and scalability. Covering a wide range of crucial topics, including AI-driven predictive maintenance, healthcare IoT, smart cities, industrial automation, edge computing, cybersecurity challenges, and real-time data analytics. The book brings forward domain-specific innovations and solutions, illustrating how AI techniques such as machine learning, deep learning, and natural language processing are advancing IoT applications. Highlighting technical challenges, solutions, and future directions, the book offers practical guidance for researchers and practitioners working on intelligent IoT frameworks. Key Features: -Explore real-world AI-IoT integration strategies.-Analyze applications in healthcare, smart homes, and industrial IoT.-Address edge and fog computing frameworks.-Examine security models and threat mitigation approaches.-Highlight regulatory and ethical implications.-Present expert-contributed chapters with case studies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Bentham Science Publishers Singapore Pte. Ltd., 2025
ISBN 10: 9815305085 ISBN 13: 9789815305081
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Add to basketPaperback. Condition: new. Paperback. This book explores cutting-edge methodologies, integration strategies, and secure frameworks that combine AI capabilities with IoT systems to enhance performance, decision-making, and scalability. Covering a wide range of crucial topics, including AI-driven predictive maintenance, healthcare IoT, smart cities, industrial automation, edge computing, cybersecurity challenges, and real-time data analytics. The book brings forward domain-specific innovations and solutions, illustrating how AI techniques such as machine learning, deep learning, and natural language processing are advancing IoT applications. Highlighting technical challenges, solutions, and future directions, the book offers practical guidance for researchers and practitioners working on intelligent IoT frameworks. Key Features: -Explore real-world AI-IoT integration strategies.-Analyze applications in healthcare, smart homes, and industrial IoT.-Address edge and fog computing frameworks.-Examine security models and threat mitigation approaches.-Highlight regulatory and ethical implications.-Present expert-contributed chapters with case studies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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