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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620292358X ISBN 13: 9786202923583
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por LAP LAMBERT Academic Publishing 2020-10-29, 2020
ISBN 10: 620292358X ISBN 13: 9786202923583
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Añadir al carritoPaperback. Condición: New.
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620292358X ISBN 13: 9786202923583
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 112.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620292358X ISBN 13: 9786202923583
Librería: moluna, Greven, Alemania
EUR 45,45
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Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Very Good. Cover and edges may have some wear.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Good.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Idioma: Inglés
Publicado por Taylor & Francis Group, 2019
ISBN 10: 0367221942 ISBN 13: 9780367221942
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 123,91
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 139,31
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Publicado por Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
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EUR 141,77
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Añadir al carritoHardcover. Condición: new. Hardcover. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | This book focuses on a detailed description of the utilization of IoT with visual surveillance and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry.
Librería: Brook Bookstore, Milano, MI, Italia
EUR 121,53
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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EUR 165,45
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Chapman and Hall/CRC 2019-10-25, 2019
ISBN 10: 0367221942 ISBN 13: 9780367221942
Librería: Chiron Media, Wallingford, Reino Unido
EUR 148,77
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Añadir al carritoHardcover. Condición: New.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 326 pages. 9.25x6.10x0.87 inches. In Stock.
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EUR 166,42
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Idioma: Inglés
Publicado por Springer Nature Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
Librería: Buchpark, Trebbin, Alemania
EUR 85,34
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 171,33
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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EUR 140,00
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Añadir al carritoTaschenbuch. Condición: Neu. Geospatial Data Science in Healthcare for Society 5.0 | Pradeep Kumar Garg (u. a.) | Taschenbuch | Disruptive Technologies and Digital Transformations for Society 5.0 | viii | Englisch | 2023 | Springer | EAN 9789811694783 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 226,16
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Añadir al carritoHardcover. Condición: Brand New. 260 pages. 10.00x7.00x1.00 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 223,98
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Añadir al carritoHardcover. Condición: new. Hardcover. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 250,47
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Springer Nature Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Alemania
EUR 229,90
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Añadir al carritoHardcover. Condición: gut. 2022. Geospatial Data Science in Healthcare for Society 5.0 In deutscher Sprache. pages.