Smart cities and machine learning in urban health
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...

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Bibliographische Detailangaben
Weitere Verfasser: Karagianni, Anna (HerausgeberIn), Geropanta, Vasiliki (HerausgeberIn), Thomas, J Joshua (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global 2021
Schlagworte:
Smart cities
Urban health
Public health > Technological aspects
Online-Zugang:DE-91
DE-898
DE-706
DE-573
DE-1050
DE-1049
DE-83
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: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. - Mode of access: World Wide Web
Beschreibung:1 Online-Ressource (269 Seiten)
ISBN:9781799871781
DOI:10.4018/978-1-7998-7176-7

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