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Smart cities and machine learning in urban health / edited by J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Smart cities.
- Urban health.
- Public health--Technological aspects.
- Public health.
- Physical Description:
- 20 PDFs (269 pages)
- Place of Publication:
- Hershey, Pennsylvania : Information Science Reference, [2021]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- 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.
- 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.
- Notes:
- Description based upon print version of record.
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 1-7998-7179-7
- 1-7998-7178-9
- OCLC:
- 1286883651
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