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Smart Cities and Machine Learning in Urban Health

2021-11-12
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Release : 2021-11-12
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Kind : eBook
Book Rating : 774/5 ( reviews)

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Book Synopsis Smart Cities and Machine Learning in Urban Health by : J Joshua Thomas

Download or read book Smart Cities and Machine Learning in Urban Health written by J Joshua Thomas. This book was released on 2021-11-12. Available in PDF, EPUB and Kindle. Book excerpt: The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health 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.

Smart Cities and Machine Learning in Urban Health

2021-11-12 Medical
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Release : 2021-11-12
Genre : Medical
Kind : eBook
Book Rating : 789/5 ( reviews)

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Book Synopsis Smart Cities and Machine Learning in Urban Health by : Thomas, J. Joshua

Download or read book Smart Cities and Machine Learning in Urban Health written by Thomas, J. Joshua. This book was released on 2021-11-12. Available in PDF, EPUB and Kindle. Book excerpt: The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health 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.

Artificial Intelligence and Machine Learning in Smart City Planning

2023-01-11 Science
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Release : 2023-01-11
Genre : Science
Kind : eBook
Book Rating : 047/5 ( reviews)

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Book Synopsis Artificial Intelligence and Machine Learning in Smart City Planning by : Vedik Basetti

Download or read book Artificial Intelligence and Machine Learning in Smart City Planning written by Vedik Basetti. This book was released on 2023-01-11. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. - Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities - Explains soft computing techniques for smart city applications - Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm - Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences

Connected Health in Smart Cities

2019-12-03 Medical
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Release : 2019-12-03
Genre : Medical
Kind : eBook
Book Rating : 441/5 ( reviews)

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Book Synopsis Connected Health in Smart Cities by : Abdulmotaleb El Saddik

Download or read book Connected Health in Smart Cities written by Abdulmotaleb El Saddik. This book was released on 2019-12-03. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

2022-01-09 Mathematics
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Release : 2022-01-09
Genre : Mathematics
Kind : eBook
Book Rating : 595/5 ( reviews)

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Book Synopsis Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities by : Panos M. Pardalos

Download or read book Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities written by Panos M. Pardalos. This book was released on 2022-01-09. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.

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