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Artificial Intelligence And Machine Learning In Smart City Planning


Artificial Intelligence And Machine Learning In Smart City Planning
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Artificial Intelligence And Machine Learning In Smart City Planning


Artificial Intelligence And Machine Learning In Smart City Planning
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Author : Vedik Basetti
language : en
Publisher: Elsevier
Release Date : 2023-01-11

Artificial Intelligence And Machine Learning In Smart City Planning written by Vedik Basetti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-11 with Science categories.


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



Artificial Intelligence In Urban Planning And Design


Artificial Intelligence In Urban Planning And Design
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Author : Imdat As
language : en
Publisher: Elsevier
Release Date : 2022-05-14

Artificial Intelligence In Urban Planning And Design written by Imdat As and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-14 with Political Science categories.


Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. - Includes a cutting-edge catalogue of AI tools applied to smart city design and planning - Provides case studies from around the globe at various scales - Includes diagrams and graphics for course instruction



Smart Cities And Artificial Intelligence


Smart Cities And Artificial Intelligence
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Author : Christopher Grant Kirwan
language : en
Publisher: Elsevier
Release Date : 2020-05-05

Smart Cities And Artificial Intelligence written by Christopher Grant Kirwan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-05 with Political Science categories.


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.



Smart Cities And Machine Learning In Urban Health


Smart Cities And Machine Learning In Urban Health
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Author : Thomas, J. Joshua
language : en
Publisher: IGI Global
Release Date : 2021-11-12

Smart Cities And Machine Learning In Urban Health written by Thomas, J. Joshua and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-12 with Medical categories.


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 Machine Learning And Optimization Tools For Smart Cities


Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities
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Author : Panos M. Pardalos
language : en
Publisher: Springer Nature
Release Date : 2022-01-09

Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities written by Panos M. Pardalos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-09 with Mathematics categories.


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.



Urban Informatics


Urban Informatics
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Author : Wenzhong Shi
language : en
Publisher: Springer Nature
Release Date : 2021-04-06

Urban Informatics written by Wenzhong Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Social Science categories.


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


Security In Smart Cities Models Applications And Challenges
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2018-11-04

Security In Smart Cities Models Applications And Challenges written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-04 with Technology & Engineering categories.


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.



Leveraging Iot And Machine Learning For Smart Urban Planning


Leveraging Iot And Machine Learning For Smart Urban Planning
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Author : Muneer Ahmad
language : en
Publisher: Information Science Reference
Release Date : 2025

Leveraging Iot And Machine Learning For Smart Urban Planning written by Muneer Ahmad and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computers categories.


"The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"--



Predicting Natural Disasters With Ai And Machine Learning


Predicting Natural Disasters With Ai And Machine Learning
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-02-16

Predicting Natural Disasters With Ai And Machine Learning written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Nature categories.


In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.



Humane And Sustainable Smart Cities


Humane And Sustainable Smart Cities
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Author : Eduardo M. Costa
language : en
Publisher: Academic Press
Release Date : 2020-11-19

Humane And Sustainable Smart Cities written by Eduardo M. Costa and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-19 with Social Science categories.


Humane and Sustainable Smart Cities explores how to develop emergent smart cities that are rooted in humane, innovative and sustainable values (CHIS). The book considers the move from technocratic and idealized smart metropole to humane cities as a product of fundamental demographic changes, the development of a usage-based rather than an ownership economy, the novel implications of digitalization, decentralization and decarbonization, and Internet-enabled changes in public opinion towards democratization and participation. The book's authors explore seven dimensions and characteristics of humane, sustainable and innovative cities in the developing world: the economy, people, the place, energy and the environment, mobility, social inclusion and governance. Additional sections the operationalization of the CHIS concept into formal planning, policy implementation, and impact assessment considerations. Final discussions center on building a roadmap for planners seeking to design development policies conducive to human values and long-term social viability. - Provides an axiological framework for the development of humane, innovative and sustainable cities - Examines how that framework can be operationalized into formal planning, policy implementation and impact assessment - Explores humane, innovative and sustainable cities in terms of seven dimensions, including the economy, people, the place, energy and the environment, mobility, social inclusion and governance - Explores proven paths for promoting effective community engagement in developing humane cities - Provides a practical roadmap to design development policies conducive to human values and long-term social viability