Smart Cities And Machine Learning In Urban Health

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Smart Cities and Machine Learning in Urban Health

Author : J Joshua Thomas
Publisher : Information Science Reference
ISBN 13 : 9781799871774
Total Pages : 296 pages
Book Rating : 4.8/5 (717 download)

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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 and published by Information Science Reference. This book was released on 2021-11-12 with total page 296 pages. 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

Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1799871789
Total Pages : 269 pages
Book Rating : 4.7/5 (998 download)

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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 and published by IGI Global. This book was released on 2021-11-12 with total page 269 pages. 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.

Advances in Deep Learning Applications for Smart Cities

Author : Rajeev Kumar
Publisher :
ISBN 13 : 9781799897101
Total Pages : 325 pages
Book Rating : 4.8/5 (971 download)

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Book Synopsis Advances in Deep Learning Applications for Smart Cities by : Rajeev Kumar

Download or read book Advances in Deep Learning Applications for Smart Cities written by Rajeev Kumar and published by . This book was released on 2022 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial informatics lies at the strategic intersection of multiple disciplines that can comprehensively realize a learning vision of smart cities. This book is ideal for academicians, researchers, authors, industry experts, software engineers, and students.

Smart Cities and Artificial Intelligence

Author : Christopher Grant Kirwan
Publisher : Elsevier
ISBN 13 : 0128170247
Total Pages : 274 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Smart Cities and Artificial Intelligence by : Christopher Grant Kirwan

Download or read book Smart Cities and Artificial Intelligence written by Christopher Grant Kirwan and published by Elsevier. This book was released on 2020-05-05 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities. Smart Cities and Artificial Intelligence brings a multidisciplinary, integrated approach, examining how the digital and physical worlds are converging, and how a new combination of human and machine intelligence is transforming the experience of the urban environment. It presents a fresh holistic understanding of smart cities through an interconnected stream of theory, planning and design methodologies, system architecture, and the application of smart city functions, with the ultimate purpose of making cities more liveable, sustainable, and self-sufficient.

Leveraging Data Science for Global Health

Author : Leo Anthony Celi
Publisher : Springer Nature
ISBN 13 : 3030479943
Total Pages : 471 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Leveraging Data Science for Global Health by : Leo Anthony Celi

Download or read book Leveraging Data Science for Global Health written by Leo Anthony Celi and published by Springer Nature. This book was released on 2020-07-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Author : Uttam Ghosh
Publisher : Springer Nature
ISBN 13 : 3030720659
Total Pages : 411 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by : Uttam Ghosh

Download or read book Machine Intelligence and Data Analytics for Sustainable Future Smart Cities written by Uttam Ghosh and published by Springer Nature. This book was released on 2021-05-31 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Urban Informatics

Author : Wenzhong Shi
Publisher : Springer Nature
ISBN 13 : 9811589836
Total Pages : 941 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Urban Informatics by : Wenzhong Shi

Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Security in Smart Cities: Models, Applications, and Challenges

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3030015602
Total Pages : 364 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Security in Smart Cities: Models, Applications, and Challenges by : Aboul Ella Hassanien

Download or read book Security in Smart Cities: Models, Applications, and Challenges written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-11-04 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges. Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications.

The Smart Enough City

Author : Ben Green
Publisher : MIT Press
ISBN 13 : 0262352257
Total Pages : 241 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis The Smart Enough City by : Ben Green

Download or read book The Smart Enough City written by Ben Green and published by MIT Press. This book was released on 2019-04-09 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why technology is not an end in itself, and how cities can be “smart enough,” using technology to promote democracy and equity. Smart cities, where technology is used to solve every problem, are hailed as futuristic urban utopias. We are promised that apps, algorithms, and artificial intelligence will relieve congestion, restore democracy, prevent crime, and improve public services. In The Smart Enough City, Ben Green warns against seeing the city only through the lens of technology; taking an exclusively technical view of urban life will lead to cities that appear smart but under the surface are rife with injustice and inequality. He proposes instead that cities strive to be “smart enough”: to embrace technology as a powerful tool when used in conjunction with other forms of social change—but not to value technology as an end in itself. In a technology-centric smart city, self-driving cars have the run of downtown and force out pedestrians, civic engagement is limited to requesting services through an app, police use algorithms to justify and perpetuate racist practices, and governments and private companies surveil public space to control behavior. Green describes smart city efforts gone wrong but also smart enough alternatives, attainable with the help of technology but not reducible to technology: a livable city, a democratic city, a just city, a responsible city, and an innovative city. By recognizing the complexity of urban life rather than merely seeing the city as something to optimize, these Smart Enough Cities successfully incorporate technology into a holistic vision of justice and equity.

A City Is Not a Computer

Author : Shannon Mattern
Publisher : Princeton University Press
ISBN 13 : 069122675X
Total Pages : 200 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis A City Is Not a Computer by : Shannon Mattern

Download or read book A City Is Not a Computer written by Shannon Mattern and published by Princeton University Press. This book was released on 2021-08-10 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bold reassessment of "smart cities" that reveals what is lost when we conceive of our urban spaces as computers Computational models of urbanism—smart cities that use data-driven planning and algorithmic administration—promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models. Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs. Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.

Connected Health in Smart Cities

Author : Abdulmotaleb El Saddik
Publisher : Springer Nature
ISBN 13 : 3030278441
Total Pages : 262 pages
Book Rating : 4.0/5 (32 download)

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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 and published by Springer Nature. This book was released on 2019-12-03 with total page 262 pages. 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 and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities

Author : Devasis Pradhan
Publisher : John Wiley & Sons
ISBN 13 : 1786308649
Total Pages : 292 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities by : Devasis Pradhan

Download or read book Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities written by Devasis Pradhan and published by John Wiley & Sons. This book was released on 2024-07-03 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities delves into the transformative potential of artificial and cognitive computing in the realm of healthcare systems, maintaining a specific emphasis on sustainability. By exploring the integration of advanced technologies in smart cities, the authors examine and discuss how AI and cognitive computing can be harnessed to enhance healthcare delivery. The book provides focused navigation through innovative solutions and strategies that contribute to the creation of sustainable healthcare ecosystems within the dynamic environment of smart cities. From optimizing resource utilization to improving patient outcomes, this comprehensive exploration provides insight for readers with an interest in the future of healthcare within the era of intelligent urban development.

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Author : Krishna Kant Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119640369
Total Pages : 272 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks by : Krishna Kant Singh

Download or read book Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2020-07-08 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

Smart Healthcare for Sustainable Urban Development

Author : Rosy Madaan
Publisher : Medical Information Science Reference
ISBN 13 : 9781668425084
Total Pages : 300 pages
Book Rating : 4.4/5 (25 download)

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Book Synopsis Smart Healthcare for Sustainable Urban Development by : Rosy Madaan

Download or read book Smart Healthcare for Sustainable Urban Development written by Rosy Madaan and published by Medical Information Science Reference. This book was released on 2022 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book outlines many current challenges to digital health-care adoption and how IoT and big data technologies can help promote digital health-care adoption and improve health-care efficiency, discussing how IoT, Big data, and Deep learning techniques can together help improve the adoption of smart health which will result in improved health-care delivery and access"--

Explainable Artificial Intelligence for Smart Cities

Author : Mohamed Lahby
Publisher : CRC Press
ISBN 13 : 1000472361
Total Pages : 361 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Explainable Artificial Intelligence for Smart Cities by : Mohamed Lahby

Download or read book Explainable Artificial Intelligence for Smart Cities written by Mohamed Lahby and published by CRC Press. This book was released on 2021-11-09 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

AI in Business: Opportunities and Limitations

Author : Reem Khamis Hamdan
Publisher : Springer Nature
ISBN 13 : 3031484797
Total Pages : 646 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis AI in Business: Opportunities and Limitations by : Reem Khamis Hamdan

Download or read book AI in Business: Opportunities and Limitations written by Reem Khamis Hamdan and published by Springer Nature. This book was released on 2024 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book is a comprehensive guide to understanding the potential of artificial intelligence (AI) in improving business functions, as well as the limitations and challenges that come with its implementation. In this book, readers will learn about the various opportunities that AI presents in business, including how it can automate routine tasks, reduce errors, and increase efficiency. The book covers a range of topics, including how AI can be used in financial reporting, auditing, fraud detection, and tax preparation. However, the book also explores the limitations of AI in business, such as the need for skilled professionals, data quality, and the potential for bias. It examines the challenges that companies face when implementing AI in business functions, including the need for ethical considerations, transparency, and accountability. The book is written for business professionals, business leaders, and anyone interested in the potential of AI in business functions. It offers practical advice on how to implement AI effectively and provides insights into the latest developments in AI technology. Through case studies and real-world examples, readers will gain a deeper understanding of how AI can be used to enhance business functions, as well as the potential pitfalls and limitations to be aware of. Overall, "AI in Business: Opportunities and Limitations" is an essential guide for anyone looking to harness the power of AI to improve their business functions, and to stay ahead in an increasingly competitive business environment