Smart Cities and Artificial Intelligence Book

Smart Cities and Artificial Intelligence


  • Author : Christopher Grant Kirwan
  • Publisher : Elsevier
  • Release Date : 2020-05-06
  • Genre: Political Science
  • Pages : 284
  • ISBN 10 : 9780128170250
  • Total Read : 63
  • File Size : 8,5 Mb

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Smart Cities and Artificial Intelligence Summary:

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 Book

AI Based Services for Smart Cities and Urban Infrastructure


  • Author : Lyu, Kangjuan
  • Publisher : IGI Global
  • Release Date : 2020-09-04
  • Genre: Computers
  • Pages : 353
  • ISBN 10 : 9781799850250
  • Total Read : 74
  • File Size : 19,5 Mb

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AI Based Services for Smart Cities and Urban Infrastructure Summary:

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.

Explainable Artificial Intelligence for Smart Cities Book

Explainable Artificial Intelligence for Smart Cities


  • Author : Mohamed Lahby
  • Publisher : CRC Press
  • Release Date : 2021-11-10
  • Genre: Technology & Engineering
  • Pages : 360
  • ISBN 10 : 9781000472363
  • Total Read : 80
  • File Size : 13,6 Mb

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Explainable Artificial Intelligence for Smart Cities Summary:

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.

Artificial Intelligence  Machine Learning  and Optimization Tools for Smart Cities Book

Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities


  • Author : Panos M. Pardalos
  • Publisher : Springer
  • Release Date : 2022-01-10
  • Genre: Mathematics
  • Pages : 235
  • ISBN 10 : 3030844587
  • Total Read : 67
  • File Size : 5,9 Mb

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Artificial Intelligence Machine Learning and Optimization Tools for Smart Cities Summary:

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 Smart Governance Book

Smart Cities and Smart Governance


  • Author : Elsa Estevez
  • Publisher : Springer Nature
  • Release Date : 2021-03-16
  • Genre: Law
  • Pages : 408
  • ISBN 10 : 9783030610333
  • Total Read : 72
  • File Size : 18,6 Mb

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Smart Cities and Smart Governance Summary:

This edited volume discusses smart cities and smart governance within the framework of the 22nd century sustainable city. Written by members of the Smart Cities Smart Government Research Practice Consortium (SCSGRPC), an international multidisciplinary consortium of researchers and practitioners devoted to studying smart governance, this book provides a foundation for global efforts to envision and prepare for the next generation city by advancing understanding of the nature of and need for novel policies, new administrative practices, and enabling technologies required to advance urban governance, governments, and infrastructure. The chapters focus on practical models and approaches, theoretical frameworks, policy models, emerging issues, questions and research problems, as well as including case studies from different parts of the world. A valuable addition to the body of knowledge on smartness in urban government, this book will be of use to researchers in the fields of public administration, political science, information science, and information systems, as well as policy makers and government officials working on implementing smart technology in their cities.

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Book
Score: 5
From 1 Ratings

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities


  • Author : Mustapha Hatti
  • Publisher : Springer Nature
  • Release Date : 2021-11-24
  • Genre: Technology & Engineering
  • Pages : 927
  • ISBN 10 : 9783030920388
  • Total Read : 95
  • File Size : 5,8 Mb

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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities Summary:

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Smart Cities and Machine Learning in Urban Health Book

Smart Cities and Machine Learning in Urban Health


  • Author : J Joshua Thomas
  • Publisher : Information Science Reference
  • Release Date : 2021-11-12
  • Genre: Uncategoriezed
  • Pages : 296
  • ISBN 10 : 1799871770
  • Total Read : 66
  • File Size : 14,9 Mb

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Smart Cities and Machine Learning in Urban Health Summary:

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.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Book
Score: 5
From 1 Ratings

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities


  • Author : Uttam Ghosh
  • Publisher : Springer Nature
  • Release Date : 2021-05-31
  • Genre: Technology & Engineering
  • Pages : 411
  • ISBN 10 : 9783030720650
  • Total Read : 73
  • File Size : 12,5 Mb

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Summary:

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.