Download or read book Artificial Intelligence Applications to Smart City and Smart Enterprise written by Donato Impedovo and published by MDPI. This book was released on 2020-11-23 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.

Download or read book Artificial Intelligence Applications to Smart City and Smart Enterprise written by Donato Impedovo and published by . This book was released on 2020 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.

Download or read book Smart Cities and Artificial Intelligence written by Christopher Grant Kirwan and published by Elsevier. This book was released on 2020-05-06 with total page 276 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. 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

Download or read book Advances in Deep Learning Applications for Smart Cities written by Kumar, Rajeev and published by IGI Global. This book was released on 2022-05-13 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book AI and IoT for Smart City Applications written by Vincenzo Piuri and published by Springer Nature. This book was released on 2022-01-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence and Machine Learning in Smart City Planning written by Vedik Basetti and published by Elsevier. This book was released on 2023-01-11 with total page 362 pages. 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

Download or read book Artificial Intelligence Applications for Smart Societies written by Mohamed Elhoseny and published by Springer Nature. This book was released on 2021-04-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume discusses recent advances in Artificial Intelligence (AI) applications in smart, internet-connected societies, highlighting three key focus areas. The first focus is on intelligent sensing applications. This section details the integration of Wireless Sensing Networks (WSN) and the use of intelligent platforms for WSN applications in urban infrastructures, and discusses AI techniques on hardware and software systems such as machine learning, pattern recognition, expert systems, neural networks, genetic algorithms, and intelligent control in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic cameras, smart cards, smart phones and road deceleration devices enables citizens to collect and share data to make cities smart, and how these data can be applied to address urban issues including pollution, traffic congestion, public safety and increased energy consumption. This book will of interest to academics, researchers and students studying AI, cloud computing, IoT and crowdsourcing in urban applications.

Download or read book AI Based Services for Smart Cities and Urban Infrastructure written by Lyu, Kangjuan and published by IGI Global. This book was released on 2020-09-04 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Explainable Artificial Intelligence for Smart Cities written by Mohamed Lahby and published by CRC Press. This book was released on 2021-11-10 with total page 360 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.

Download or read book Innovations in Smart Cities Applications Volume 6 written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on 2023-03-01 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights original research and recent advances in various fields related to smart cities and their applications. Bringing together new contributions by prominent researchers from around the globe, the book is a rich pedagogical tool and an inspiring research support for courses on computer science, electrical engineering, and urban sciences. The book gathers papers presented at the 7th International Conference on Smart City Applications (SCA 2022), held on October 19–21, 2022, in Castelo Branco, Portugal. The technical program of SCA 2022 consisted of 80 papers. The keynote speakers were Eng. Loide Monteiro (Foundation Smart City Cape Verde), Prof. Teodora Vuckovic (University of Novi Sad), Prof. Susana Sargento (University of Aveiro), Prof. Andy Van Den Dobblesteen (TU Delft), and Prof. Juan Corchado (University of Salamanca). SCA 2022 provided a good forum for all researchers to discuss all aspects of science and technology that are relevant to smart city applications.

Download or read book IoT and WSN based Smart Cities A Machine Learning Perspective written by Shalli Rani and published by Springer Nature. This book was released on 2022-05-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

Download or read book Smart Cities and Artificial Intelligence written by Christopher Grant Kirwan and published by Elsevier. This book was released on 2020-05-19 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. 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

Download or read book Current State of Art in Artificial Intelligence and Ubiquitous Cities written by Rita Yi Man Li and published by Springer Nature. This book was released on 2022-05-14 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers artificial intelligence and ubiquitous cities. It discusses the applications of the relevant tools in bringing revolutionary new lives to mankind. It showcases various applications of artificial intelligence in benefiting human society. For example, AI classification shortens the human time required for classifying court cases; humanoid robots help us perform heavy-duty jobs like humans, connect all the smart home devices, and take care of the kids and the elderly. It also presents the application of AutoML to predict housing prices.

Download or read book Machine Learning for Smart Environments Cities written by Gonçalo Marques and published by Springer Nature. This book was released on 2022-04-05 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.

Download or read book Artificial Intelligence and Machine Learning for Smart Community written by T V Ramana and published by CRC Press. This book was released on 2024-01-26 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Download or read book Artificial Intelligence Perspective for Smart Cities written by Vahap Tecim and published by CRC Press. This book was released on 2022-11-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The concept of "smart city" is used widely in general however, it is hard to explain because of the complexity and multidimensionality of this notion. However, the essential qualification for being a smart city is to achieve "sustainable social, environmental, and economic development" and boost the living standards of society based on Information and Communication Technology (ICT) and AI. Artificial intelligence (AI) in smart cities has become an important aspect of cities that face great challenges to make smart decisions for social well-being, particularly cybersecurity and corporate sustainability. In this context, we aim to contribute literature with a value-added approach where different AI applications of smart cities are discussed from different perspective. First, we start from discussing the conceptual design, modeling, and determination of components for the sustainability of smart city structure. Smart cities operate on spatial-based data. It is important in designing, operating, and managing smart city elements using Geographical Information Systems (GIS) technologies. Second, we define the structure, type, unit, and functionality of the layers to be placed on the GIS to achieve best practices based on industry 4.0 components. Transportation is one of the key indicators of smart cities. It is critical to make transportation in smart cities accessible for different disabled groups by using artificial intelligence technologies. Third, we demonstrate what kinds of technologies should be used for which disabled groups in different transportation vehicles with specific examples. Finally, we create a discussion platform for processes and sub-processes such as waste management, emergency management, risk management, data management of establishing smart cities including the financial and ethical aspects"--

Download or read book Handbook of Artificial Intelligence for Smart City Development written by Sandhya Makkar and published by CRC Press. This book was released on 2024-03-11 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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