Advances In Deep Learning Applications For Smart Cities

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Advances in Deep Learning Applications for Smart Cities

Author : Kumar, Rajeev,Dwivedi, Rakesh Kumar
Publisher : IGI Global
Page : 335 pages
File Size : 49,6 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.

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 : 45,8 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

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 : 48,5 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.

Artificial Intelligence Applications to Smart City and Smart Enterprise

Author : Donato Impedovo,Giuseppe Pirlo
Publisher : MDPI
Page : 374 pages
File Size : 53,8 Mb
Release : 2020-11-23
Category : Technology & Engineering
ISBN : 9783039364374

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Artificial Intelligence Applications to Smart City and Smart Enterprise by Donato Impedovo,Giuseppe Pirlo Pdf

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.

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 : 40,8 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.

Innovations in Smart Cities Applications Volume 6

Author : Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,Domingos Santos,Rogerio Dionisio,Nabil Benaya
Publisher : Springer Nature
Page : 908 pages
File Size : 54,6 Mb
Release : 2023-03-01
Category : Technology & Engineering
ISBN : 9783031268526

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Innovations in Smart Cities Applications Volume 6 by Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,Domingos Santos,Rogerio Dionisio,Nabil Benaya Pdf

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.

IoT and WSN based Smart Cities: A Machine Learning Perspective

Author : Shalli Rani,Vyasa Sai,R. Maheswar
Publisher : Springer Nature
Page : 288 pages
File Size : 42,8 Mb
Release : 2022-05-30
Category : Technology & Engineering
ISBN : 9783030841829

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IoT and WSN based Smart Cities: A Machine Learning Perspective by Shalli Rani,Vyasa Sai,R. Maheswar Pdf

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.

Machine Learning Techniques for Smart City Applications: Trends and Solutions

Author : D. Jude Hemanth
Publisher : Springer
Page : 0 pages
File Size : 44,6 Mb
Release : 2023-10-04
Category : Computers
ISBN : 3031088611

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Machine Learning Techniques for Smart City Applications: Trends and Solutions by D. Jude Hemanth Pdf

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

Advances in Explainable AI Applications for Smart Cities

Author : Ghonge, Mangesh M.,Pradeep, Nijalingappa,Jhanjhi, Noor Zaman,Kulkarni, Praveen M.
Publisher : IGI Global
Page : 523 pages
File Size : 40,6 Mb
Release : 2024-01-18
Category : Computers
ISBN : 9781668463635

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Advances in Explainable AI Applications for Smart Cities by Ghonge, Mangesh M.,Pradeep, Nijalingappa,Jhanjhi, Noor Zaman,Kulkarni, Praveen M. Pdf

As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

Explainable Artificial Intelligence for Smart Cities

Author : Mohamed Lahby,Utku Kose,Akash Kumar Bhoi
Publisher : CRC Press
Page : 360 pages
File Size : 46,7 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.

Smart Urban Computing Applications

Author : M.A. Jabbar,Sanju Tiwari,Fernando Ortiz-Rodriguez
Publisher : CRC Press
Page : 257 pages
File Size : 41,8 Mb
Release : 2023-02-07
Category : Computers
ISBN : 9781000846430

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Smart Urban Computing Applications by M.A. Jabbar,Sanju Tiwari,Fernando Ortiz-Rodriguez Pdf

This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing. It describes new insights based on deep learning and IoT for urban computing and is useful for architects, engineers, policymakers, facility managers, academicians, and researchers who are interested in expanding their knowledge of the applications of deep learning trends involving urban computing.

Innovations in Smart Cities Applications Edition 3

Author : Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,Domingos Santos,Mohamed El Aroussi,İsmail Rakıp Karas
Publisher : Springer Nature
Page : 1284 pages
File Size : 55,6 Mb
Release : 2020-02-04
Category : Technology & Engineering
ISBN : 9783030376291

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Innovations in Smart Cities Applications Edition 3 by Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir,Domingos Santos,Mohamed El Aroussi,İsmail Rakıp Karas Pdf

This book highlights original research and recent advances in various fields related to smart cities and their applications. It gathers papers presented at the Fourth International Conference on Smart City Applications (SCA19), held on October 2–4, 2019, in Casablanca, Morocco. Bringing together contributions by prominent researchers from around the globe, the book offers an invaluable instructional and research tool for courses on computer science, electrical engineering, and urban sciences. It is also an excellent reference guide for professionals, researchers, and academics in the field of smart cities. This book covers topics including: • Smart Citizenship • Smart Education • Digital Business and Smart Governance • Smart Health Care • New Generation of Networks and Systems for Smart Cities • Smart Grids and Electrical Engineering • Smart Mobility • Smart Security • Sustainable Building • Sustainable Environment

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 : 52,9 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.

Video Data Analytics for Smart City Applications: Methods and Trends

Author : Abhishek Singh Rathore
Publisher : Bentham Science Publishers
Page : 150 pages
File Size : 42,8 Mb
Release : 2023-04-20
Category : Computers
ISBN : 9789815123708

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Video Data Analytics for Smart City Applications: Methods and Trends by Abhishek Singh Rathore Pdf

Video data analytics is rapidly evolving and transforming the way we live in urban environments. Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications.

Computational Intelligence Techniques for Green Smart Cities

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 45,6 Mb
Release : 2022-04-22
Category : Science
ISBN : 9783030964290

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Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.