Artificial Intelligence And Machine Learning In Smart City Planning

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Artificial Intelligence and Machine Learning in Smart City Planning

Author : Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan
Publisher : Elsevier
Page : 362 pages
File Size : 52,8 Mb
Release : 2023-01-11
Category : Business & Economics
ISBN : 9780323995047

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Artificial Intelligence and Machine Learning in Smart City Planning by Vedik Basetti,Chandan Kumar Shiva,Mohan Rao Ungarala,Shriram S. Rangarajan Pdf

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

Author : Imdat As,Prithwish Basu,Pratap Talwar
Publisher : Elsevier
Page : 404 pages
File Size : 51,5 Mb
Release : 2022-05-14
Category : Political Science
ISBN : 9780128239421

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Artificial Intelligence in Urban Planning and Design by Imdat As,Prithwish Basu,Pratap Talwar Pdf

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

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

Author : Panos M. Pardalos,Stamatina Th. Rassia,Arsenios Tsokas
Publisher : Springer Nature
Page : 239 pages
File Size : 48,7 Mb
Release : 2022-01-09
Category : Mathematics
ISBN : 9783030844592

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities by Panos M. Pardalos,Stamatina Th. Rassia,Arsenios Tsokas Pdf

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.

Smart Cities and Machine Learning in Urban Health

Author : Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian
Publisher : IGI Global
Page : 269 pages
File Size : 55,6 Mb
Release : 2021-11-12
Category : Medical
ISBN : 9781799871781

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Smart Cities and Machine Learning in Urban Health by Thomas, J. Joshua,Geropanta, Vasiliki,Karagianni, Anna,Panchenko, Vladimir,Vasant, Pandian Pdf

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 Artificial Intelligence

Author : Christopher Grant Kirwan,Zhiyong Fu
Publisher : Elsevier
Page : 274 pages
File Size : 41,6 Mb
Release : 2020-05-19
Category : Political Science
ISBN : 9780128170243

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Smart Cities and Artificial Intelligence by Christopher Grant Kirwan,Zhiyong Fu Pdf

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. Explores concepts in smart city design and development and the transformation of cities through the convergence of human, machine, and natural systems enabled by Artificial Intelligence (AI) Includes numerous diagrams to illustrate and explain complex smart city systems and solutions Features diverse smart city examples and initiatives from around the globe

AI-Based Services for Smart Cities and Urban Infrastructure

Author : Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publisher : IGI Global
Page : 353 pages
File Size : 45,7 Mb
Release : 2020-09-04
Category : Computers
ISBN : 9781799850250

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AI-Based Services for Smart Cities and Urban Infrastructure by Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan Pdf

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Author : Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alazab
Publisher : Springer Nature
Page : 383 pages
File Size : 53,6 Mb
Release : 2021-04-28
Category : Computers
ISBN : 9783030721398

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities by Chinmay Chakraborty,Jerry Chun-Wei Lin,Mamoun Alazab Pdf

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

AI and IoT for Smart City Applications

Author : Vincenzo Piuri,Rabindra Nath Shaw,Ankush Ghosh,Rabiul Islam
Publisher : Springer Nature
Page : 241 pages
File Size : 51,9 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9789811674983

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AI and IoT for Smart City Applications by Vincenzo Piuri,Rabindra Nath Shaw,Ankush Ghosh,Rabiul Islam Pdf

This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Author : Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan
Publisher : Springer Nature
Page : 409 pages
File Size : 41,5 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783031229220

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Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities by Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan Pdf

With the rapid penetration of technology in varied application domains, the existing cities are getting connected more seamlessly. Cities becomes smart by inducing ICT in the classical city infrastructure for its management. According to McKenzie Report, about 68% of the world population will migrate towards urban settlements in near future. This migration is largely because of the improved Quality of Life (QoL) and livelihood in urban settlements. In the light of urbanization, climate change, democratic flaws, and rising urban welfare expenditures, smart cities have emerged as an important approach for society’s future development. Smart cities have achieved enhanced QoL by giving smart information to people regarding healthcare, transportation, smart parking, smart traffic structure, smart home, smart agronomy, community security etc. Typically, in smart cities data is sensed by the sensor devices and provided to end users for further use. The sensitive data is transferred with the help of internet creating higher chances for the adversaries to breach the data. Considering the privacy and security as the area of prime focus, this book covers the most prominent security vulnerabilities associated with varied application areas like healthcare, manufacturing, transportation, education and agriculture etc. Furthermore, the massive amount of data being generated through ubiquitous sensors placed across the smart cities needs to be handled in an effective, efficient, secured and privacy preserved manner. Since a typical smart city ecosystem is data driven, it is imperative to manage this data in an optimal manner. Enabling technologies like Internet of Things (IoT), Natural Language Processing (NLP), Blockchain Technology, Deep Learning, Machine Learning, Computer vision, Big Data Analytics, Next Generation Networks and Software Defined Networks (SDN) provide exemplary benefits if they are integrated in the classical city ecosystem in an effective manner. The application of Artificial Intelligence (AI) is expanding across many domains in the smart city, such as infrastructure, transportation, environmental protection, power and energy, privacy and security, governance, data management, healthcare, and more. AI has the potential to improve human health, prosperity, and happiness by reducing our reliance on manual labor and accelerating our progress in the sciences and technologies. NLP is an extensive domain of AI and is used in collaboration with machine learning and deep learning algorithms for clinical informatics and data processing. In modern smart cities, blockchain provides a complete framework that controls the city operations and ensures that they are managed as effectively as possible. Besides having an impact on our daily lives, it also facilitates many areas of city management.

Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges

Author : Megha Bhushan,Sailesh Iyer,Ashok Kumar,Tanupriya Choudhury,Arun Negi
Publisher : Bentham Science Publishers
Page : 331 pages
File Size : 51,5 Mb
Release : 2022-08-15
Category : Computers
ISBN : 9789815049268

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Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges by Megha Bhushan,Sailesh Iyer,Ashok Kumar,Tanupriya Choudhury,Arun Negi Pdf

Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due on advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Smart Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments. This book is divided into three sections to impart a better understanding of the topics to readers. These sections are: 1) Demystifying smart cities and villages: A traditional perspective, 2) Smart innovations for rural lifestyle management solutions, and 3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages. The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more. This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial in planning projects involving smart environments.

Advances in Deep Learning Applications for Smart Cities

Author : Kumar, Rajeev,Dwivedi, Rakesh Kumar
Publisher : IGI Global
Page : 335 pages
File Size : 49,7 Mb
Release : 2022-05-13
Category : Political Science
ISBN : 9781799897125

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Advances in Deep Learning Applications for Smart Cities by Kumar, Rajeev,Dwivedi, Rakesh Kumar Pdf

Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet of things (IoT), cloud computing, and the integration of big data into everyday life. This complex concoction requires new thinking of the synergistic utilization of deep learning and blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, and more. Advances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities. Covering topics such as digital healthcare, object detection methods, and power consumption, this book is an excellent reference for researchers, scientists, libraries, industry experts, government organizations, students and educators of higher education, business professionals, communication and marketing agencies, entrepreneurs, and academicians.

Urban Informatics

Author : Wenzhong Shi,Michael F. Goodchild,Michael Batty,Mei-Po Kwan,Anshu Zhang
Publisher : Springer Nature
Page : 941 pages
File Size : 41,9 Mb
Release : 2021-04-06
Category : Social Science
ISBN : 9789811589836

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Urban Informatics by Wenzhong Shi,Michael F. Goodchild,Michael Batty,Mei-Po Kwan,Anshu Zhang Pdf

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.

Handbook of Artificial Intelligence for Smart City Development

Author : Sandhya Makkar,Gobinath Ravindran,Ripon Kumar Chakrabortty,Arindam Pal
Publisher : CRC Press
Page : 269 pages
File Size : 40,8 Mb
Release : 2024-03-11
Category : Technology & Engineering
ISBN : 9781000929119

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Handbook of Artificial Intelligence for Smart City Development by Sandhya Makkar,Gobinath Ravindran,Ripon Kumar Chakrabortty,Arindam Pal Pdf

This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them. Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more. This handbook is intended to appeal to readers from industry and research. The book is also meant for academicians and students from across many disciplines. Moreover, this book is a medium for consultants, government agencies, and policymakers to grapple with topics and perspectives outside their lane

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Author : Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan
Publisher : Springer Nature
Page : 411 pages
File Size : 49,5 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9783030720650

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan Pdf

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.

Explainable Artificial Intelligence for Smart Cities

Author : Mohamed Lahby,Utku Kose,Akash Kumar Bhoi
Publisher : CRC Press
Page : 360 pages
File Size : 40,9 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000472363

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Explainable Artificial Intelligence for Smart Cities by Mohamed Lahby,Utku Kose,Akash Kumar Bhoi Pdf

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.