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Author: Mohamed Elhoseny
Publisher: Springer Nature
ISBN: 3030630684
Category : Science
Languages : en
Pages : 249
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Book Description
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.
Author: Mohamed Elhoseny
Publisher: Springer Nature
ISBN: 3030630684
Category : Science
Languages : en
Pages : 249
Get Book Here
Book Description
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.
Author: Elsa Estevez
Publisher: Springer Nature
ISBN: 3030610330
Category : Law
Languages : en
Pages : 408
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Book Description
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.
Author: Donato Impedovo
Publisher: MDPI
ISBN: 3039364375
Category : Technology & Engineering
Languages : en
Pages : 374
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Book Description
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.
Author: Mohamed Lahby
Publisher: CRC Press
ISBN: 1000472361
Category : Computers
Languages : en
Pages : 361
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Book Description
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.
Author: Swarnalatha, P.
Publisher: IGI Global
ISBN: 1799833372
Category : Computers
Languages : en
Pages : 330
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Book Description
As global communities are attempting to transform into more efficient and technologically-advanced metropolises, artificial intelligence (AI) has taken a firm grasp on various professional fields. Technology used in these industries is transforming by introducing intelligent techniques including machine learning, cognitive computing, and computer vision. This has raised significant attention among researchers and practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart Technology is a pivotal reference source that provides vital research on the implementation of advanced technological techniques in professional industries through the use of AI. While highlighting topics such as pattern recognition, computational imaging, and machine learning, this publication explores challenges that various fields currently face when applying these technologies and examines the future uses of AI. This book is ideally designed for researchers, developers, managers, academicians, analysts, students, and practitioners seeking current research on the involvement of AI in professional practices.
Author: Gereon Meyer
Publisher: Springer
ISBN: 3319405039
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
This edited book comprises papers about the impacts, benefits and challenges of connected and automated cars. It is the third volume of the LNMOB series dealing with Road Vehicle Automation. The book comprises contributions from researchers, industry practitioners and policy makers, covering perspectives from the U.S., Europe and Japan. It is based on the Automated Vehicles Symposium 2015 which was jointly organized by the Association of Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Ann Arbor, Michigan, in July 2015. The topical spectrum includes, but is not limited to, public sector activities, human factors, ethical and business aspects, energy and technological perspectives, vehicle systems and transportation infrastructure. This book is an indispensable source of information for academic researchers, industrial engineers and policy makers interested in the topic of road vehicle automation.
Author: Fenio Annansingh
Publisher:
ISBN: 9781799853275
Category : Information technology
Languages : en
Pages :
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Book Description
"This book explores the theoretical understanding of the socio-technical impact of smart cities by promoting the conceptual interactions between social and governmental structures (people, task, structure) with new technologies"--
Author: Vikas Khullar
Publisher: CRC Press
ISBN: 1003825591
Category : Computers
Languages : en
Pages : 294
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Book Description
The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure. Key Features: Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0. Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0. Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation. Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing. Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities. The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.
Author: Nitin Liladhar Rane
Publisher: Deep Science Publishing
ISBN: 8198127119
Category : Computers
Languages : en
Pages : 123
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Book Description
The past few years have seen artificial intelligence (AI) acting as a force that has been changing industries, societies and also the educational landscape. The objective of this book is to present a holistic view of the different sectors being affected by AI and to list some of the challenges or opportunities that have arisen as part of this fast-moving area. The opening chapter is on the ethically fraught domain of AI technologies such as ChatGPT in educational contexts, noting new frontiers for cheating and suggesting ways that its integrity can be protected during this next industrial push of technological change. Even as AI tools grow in common use, educational institutions must grapple with these complexities to maintain notions of fair play and knowledge building. Further chapters move beyond AI in education to how it can be used as a broad lever for smart and sustainable campuses, cities, and infrastructure. The text in Chapter two centers on the way artificial intelligence (machine learning and deep learning) can steer more insightful urban planning, resource management and development that is sustainable. Chapter three presents a wider coverage of AI applications, including the concept of digital twins in different sectors-healthcare, finance and agriculture-as examples on how digital replicas improve productivity and innovation across various industries under Industry 4.0; 5.0 and Society 5.0. Chater four and five moves to the regulatory issues regarding AI. They talk about the importance of strong policies and the technological, economic, and regulatory obstacles holding back AI from realizing its promise in helping industries become smarter and more sustainable. The book also wraps up with a reflective commentary which presents the real-world applications of AI, future directions and potential research topics in AI, thereby providing readers some suggestions about where we could go regarding the development of AI in the next few years. This is the series of chapters that will show you how transformational AI can be; we hope it awakens the imagination and motivates people to conduct research and innovation in this exciting sector.
Author: Aboul Ella Hassanien
Publisher: Academic Press
ISBN: 0323906397
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. - Explores artificial intelligence applications within the industrial manufacturing and communications sectors - Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector - Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions
