Smart cities and machine learning in urban health:
This book promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communi...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2021.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research's theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians. |
| Beschreibung: | 20 PDFs (269 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799871781 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Smart cities and machine learning in urban health |c edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2021. | |
| 300 | |a 20 PDFs (269 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Smart health from the hospital to the city: regulatory challenges for upcoming digital healthcare systems -- Chapter 2. City vertical gardening: an ecological approach to urban planning linkages between machine learning, biometric data, climate control, and urban health -- Chapter 3. A methodological approach for creating urban commons of wellness in public open spaces in the city of Chania -- Chapter 4. How digitalization is affecting urban transformation -- Chapter 5. Impact of statistical intelligent analysis on corona virus disease -- Chapter 6. Methodologies to associate COVID-19 spreading data to space and scale: a report on the first outbreak -- Chapter 7. Modeling digital healthcare services using NLP and IoT in smart cities -- Chapter 8. Use of plastic waste in bitumen -- Chapter 9. A novel approach for fire safety -- Chapter 10. Bilevel optimization of taxing strategies for carbon emissions using fuzzy random matrix generators. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a This book promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research's theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 11/30/2021). | ||
| 650 | 0 | |a Public health |x Technological aspects. | |
| 650 | 0 | |a Smart cities. | |
| 650 | 0 | |a Urban health. | |
| 700 | 1 | |a Geropanta, Vasiliki, |e editor | |
| 700 | 1 | |a Karagianni, Anna, |e editor | |
| 700 | 1 | |a Thomas, J Joshua, |e editor | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 1799871762 |z 9781799871767 |
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| contents | Chapter 1. Smart health from the hospital to the city: regulatory challenges for upcoming digital healthcare systems -- Chapter 2. City vertical gardening: an ecological approach to urban planning linkages between machine learning, biometric data, climate control, and urban health -- Chapter 3. A methodological approach for creating urban commons of wellness in public open spaces in the city of Chania -- Chapter 4. How digitalization is affecting urban transformation -- Chapter 5. Impact of statistical intelligent analysis on corona virus disease -- Chapter 6. Methodologies to associate COVID-19 spreading data to space and scale: a report on the first outbreak -- Chapter 7. Modeling digital healthcare services using NLP and IoT in smart cities -- Chapter 8. Use of plastic waste in bitumen -- Chapter 9. A novel approach for fire safety -- Chapter 10. Bilevel optimization of taxing strategies for carbon emissions using fuzzy random matrix generators. |
| ctrlnum | (CaBNVSL)slc00001956 (OCoLC)1286883651 |
| dewey-full | 307.76 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 307 - Communities |
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| discipline | Soziologie |
| format | Electronic eBook |
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| spelling | Smart cities and machine learning in urban health edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2021. 20 PDFs (269 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Smart health from the hospital to the city: regulatory challenges for upcoming digital healthcare systems -- Chapter 2. City vertical gardening: an ecological approach to urban planning linkages between machine learning, biometric data, climate control, and urban health -- Chapter 3. A methodological approach for creating urban commons of wellness in public open spaces in the city of Chania -- Chapter 4. How digitalization is affecting urban transformation -- Chapter 5. Impact of statistical intelligent analysis on corona virus disease -- Chapter 6. Methodologies to associate COVID-19 spreading data to space and scale: a report on the first outbreak -- Chapter 7. Modeling digital healthcare services using NLP and IoT in smart cities -- Chapter 8. Use of plastic waste in bitumen -- Chapter 9. A novel approach for fire safety -- Chapter 10. Bilevel optimization of taxing strategies for carbon emissions using fuzzy random matrix generators. Restricted to subscribers or individual electronic text purchasers. This book promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research's theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 11/30/2021). Public health Technological aspects. Smart cities. Urban health. Geropanta, Vasiliki, editor Karagianni, Anna, editor Thomas, J Joshua, editor IGI Global, publisher. Print version: 1799871762 9781799871767 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7176-7 Volltext |
| spellingShingle | Smart cities and machine learning in urban health Chapter 1. Smart health from the hospital to the city: regulatory challenges for upcoming digital healthcare systems -- Chapter 2. City vertical gardening: an ecological approach to urban planning linkages between machine learning, biometric data, climate control, and urban health -- Chapter 3. A methodological approach for creating urban commons of wellness in public open spaces in the city of Chania -- Chapter 4. How digitalization is affecting urban transformation -- Chapter 5. Impact of statistical intelligent analysis on corona virus disease -- Chapter 6. Methodologies to associate COVID-19 spreading data to space and scale: a report on the first outbreak -- Chapter 7. Modeling digital healthcare services using NLP and IoT in smart cities -- Chapter 8. Use of plastic waste in bitumen -- Chapter 9. A novel approach for fire safety -- Chapter 10. Bilevel optimization of taxing strategies for carbon emissions using fuzzy random matrix generators. Public health Technological aspects. Smart cities. Urban health. |
| title | Smart cities and machine learning in urban health |
| title_auth | Smart cities and machine learning in urban health |
| title_exact_search | Smart cities and machine learning in urban health |
| title_full | Smart cities and machine learning in urban health edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. |
| title_fullStr | Smart cities and machine learning in urban health edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. |
| title_full_unstemmed | Smart cities and machine learning in urban health edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. |
| title_short | Smart cities and machine learning in urban health |
| title_sort | smart cities and machine learning in urban health |
| topic | Public health Technological aspects. Smart cities. Urban health. |
| topic_facet | Public health Technological aspects. Smart cities. Urban health. |
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