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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 183,33
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 328 pages. 10.00x7.00x10.00 inches. In Stock.
Idioma: Inglés
Publicado por Chapman And Hall/CRC Jun 2024, 2024
ISBN 10: 1032586109 ISBN 13: 9781032586106
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 159,10
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes.Presents practical approaches of using theIoT with deep learning vision and how it deals with human dynamicsOffers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many moreIncludes the latest technological advances in theIoT and deep learning with their implementations in healthcareCombines deep learning and analysis in the unified framework to understand both IoT and deep learning applicationsCovers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challengesPostgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful. 312 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 135,38
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Lavanya Sharma is an assistant professor, Amity Institute of Information Technology at Amity University UP, Noida, India. She did her M.Tech (Computer Science and Engineering) in 2013 at Manav Rachna College of Engineering, affiliated with Mah.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 175,73
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes.Presents practical approaches of using theIoT with deep learning vision and how it deals with human dynamicsOffers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many moreIncludes the latest technological advances in theIoT and deep learning with their implementations in healthcareCombines deep learning and analysis in the unified framework to understand both IoT and deep learning applicationsCovers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challengesPostgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.