Machine Learning For Smart Environments Cities

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Machine Learning for Smart Environments/Cities

Author : Gonçalo Marques,Alfonso González-Briones,José Manuel Molina López
Publisher : Springer Nature
Page : 254 pages
File Size : 54,6 Mb
Release : 2022-04-05
Category : Computers
ISBN : 9783030975166

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Machine Learning for Smart Environments/Cities by Gonçalo Marques,Alfonso González-Briones,José Manuel Molina López Pdf

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.

Developing and Monitoring Smart Environments for Intelligent Cities

Author : Mahmood, Zaigham
Publisher : IGI Global
Page : 367 pages
File Size : 41,5 Mb
Release : 2020-11-20
Category : Political Science
ISBN : 9781799850632

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Developing and Monitoring Smart Environments for Intelligent Cities by Mahmood, Zaigham Pdf

In recent years, intelligent cities, also known as smart cities or cognitive cities, have become a perceived solution for improving the quality of life of citizens while boosting the efficiency of city services and processes. This new vision involves the integration of various sectors of society through the use of the internet of things. By continuing to enhance research for the better development of the smart environments needed to sustain intelligent cities, citizens will be empowered to provision the e-services provided by the city, city officials will have the ability to interact directly with the community as well as monitor digital environments, and smart communities will be developed where citizens can enjoy improved quality of life. Developing and Monitoring Smart Environments for Intelligent Cities compiles the latest research on the development, management, and monitoring of digital cities and intelligent environments into one complete reference source. The book contains chapters that examine current technologies and the future use of internet of things frameworks as well as device connectivity approaches, communication protocols, security challenges, and their inherent issues and limitations. Including unique coverage on topics such as connected vehicles for smart transportation, security issues for smart homes, and building smart cities for the blind, this reference is ideal for practitioners, urban developers, urban planners, academicians, researchers, and students.

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 : 55,5 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.

Advances in Deep Learning Applications for Smart Cities

Author : Kumar, Rajeev,Dwivedi, Rakesh Kumar
Publisher : IGI Global
Page : 335 pages
File Size : 43,8 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.

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 : 53,9 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.

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 : 47,7 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.

Artificial Intelligence and Smart Environment

Author : Yousef Farhaoui,Alvaro Rocha,Zouhaier Brahmia,Bharat Bhushab
Publisher : Springer Nature
Page : 948 pages
File Size : 45,9 Mb
Release : 2023-03-07
Category : Technology & Engineering
ISBN : 9783031262548

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Artificial Intelligence and Smart Environment by Yousef Farhaoui,Alvaro Rocha,Zouhaier Brahmia,Bharat Bhushab Pdf

This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.

Explainable Artificial Intelligence for Smart Cities

Author : Mohamed Lahby,Utku Kose,Akash Kumar Bhoi
Publisher : CRC Press
Page : 360 pages
File Size : 49,7 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.

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 : 48,7 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

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 : 48,5 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.

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 : 50,8 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.

Computational Intelligence Techniques for Green Smart Cities

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 54,5 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.

Smart Cities and Artificial Intelligence

Author : Christopher Grant Kirwan,Fu Zhiyong
Publisher : Elsevier
Page : 276 pages
File Size : 50,6 Mb
Release : 2020-05-06
Category : Political Science
ISBN : 9780128170250

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

Workshops at 18th International Conference on Intelligent Environments (IE2022)

Author : H.H. Alvarez Valera,M. Luštrek
Publisher : IOS Press
Page : 396 pages
File Size : 54,9 Mb
Release : 2022-07-05
Category : Computers
ISBN : 9781643682877

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Workshops at 18th International Conference on Intelligent Environments (IE2022) by H.H. Alvarez Valera,M. Luštrek Pdf

The term Intelligent Environments (IEs) refers to physical spaces in which information and communication technologies are interwoven with sensing technologies, innovative user interfaces, robotics and artificial intelligence to create interactive spaces which increase the awareness and enhance the experience of those occupying them. The growing IE community is rooted in academia, but increasingly involves practitioners. It explores the core ideas of IEs as well as the factors necessary to make them a reality, such as energy efficiency, the computational constraints of edge devices and privacy issues. This book presents papers from Workshops held during the 18th International Conference on Intelligent Environments, IE2022, held as a hybrid conference in Biarritz, France, from 20 to 23 June 2022. The conference is now recognized as a major annual venue in the field of IE. It offers a truly international forum for the exchange of information and ideas, and welcomes contributions from all technically active regions of the planet. Included here are 35 papers from the 1st International Workshop on Sentiment Analysis and Emotion Recognition for Social Robots (SENTIRobots’22); 1st International Workshop on Edge AI for Smart Agriculture (EAISA’22); 2nd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’22); 11th International Workshop on the Reliability of Intelligent Environments (WoRIE’22); 2nd International Workshop on Self-Learning in Intelligent Environments (SeLIE’22); 5th Workshop on Citizen Centric Smart Cities Solutions (CCSCS’22); 11th International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell’22) Exploring some of the latest research and developments in the field, the book will be of interest to all those working with intelligent environments and its associated technologies.

Innovations in Smart Cities Applications Volume 4

Author : Mohamed Ben Ahmed,İsmail Rakıp Karaș,Domingos Santos,Olga Sergeyeva,Anouar Abdelhakim Boudhir
Publisher : Springer Nature
Page : 1530 pages
File Size : 45,5 Mb
Release : 2021-02-12
Category : Technology & Engineering
ISBN : 9783030668402

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Innovations in Smart Cities Applications Volume 4 by Mohamed Ben Ahmed,İsmail Rakıp Karaș,Domingos Santos,Olga Sergeyeva,Anouar Abdelhakim Boudhir Pdf

This proceedings book is the fourth edition of a series of works which features emergent research trends and recent innovations related to smart city presented at the 5th International Conference on Smart City Applications SCA20 held in Safranbolu, Turkey. This book is composed of peer-reviewed chapters written by leading international scholars in the field of smart cities from around the world. This book covers all the smart city topics including Smart Citizenship, Smart Education, Smart Mobility, Smart Healthcare, Smart Mobility, Smart Security, Smart Earth Environment & Agriculture, Smart Economy, Smart Factory and Smart Recognition Systems. This book contains a special section intended for Covid-19 pandemic researches. This book edition is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development.