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Author: Arun Solanki
Publisher: Bentham Science Publishers
ISBN: 9815124978
Category : Computers
Languages : en
Pages : 299
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Book Description
Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design.
Author: Arun Solanki
Publisher: Bentham Science Publishers
ISBN: 9815124978
Category : Computers
Languages : en
Pages : 299
Get Book Here
Book Description
Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence IoT, intelligent systems and urban studies into smart city planning and design.
Author: Arun Solanki
Publisher: Bentham Science Publishers
ISBN: 9789815124989
Category :
Languages : en
Pages : 0
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Book Description
The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: -Physical layer design considerations that underpin smart city infrastructure -Enabling technologies for intelligent systems within the context of smart computing environments -Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities -Applications, enabling technologies, challenges, and future trends of IoE for smart cities. -The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences -Machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles -Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems -IoT, blockchain, and cloud-based technology for secure frameworks and data analytics -Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence of IoT, intelligent systems and urban studies into smart city planning and design.
Author: Simon Elias Bibri
Publisher: CRC Press
ISBN: 104026686X
Category : Computers
Languages : en
Pages : 530
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Book Description
This book takes readers on a captivating journey into the transformative role of Artificial Intelligence (AI) and AI of Things (AIoT) technologies in reshaping sustainable urban development. By combining comprehensive theoretical analyses, synthesized empirical evidence, and practical case studies, it offers pioneering interdisciplinary insights and unifying frameworks. The book highlights the synergistic integration of Urban Brain (UB), Urban Digital Twin (UDT), Smart Urban Metabolism (SUM), and platform urbanism, underscored by their collaborative potential to revolutionize the environmental management, planning, and governance of smarter eco‐cities and sustainable smart cities. It leverages cutting‐edge technologies and data‐driven approaches to optimize urban systems, resource efficiency, and resilience. This approach provides a holistic understanding of the rapidly evolving landscape of AI‐ and AIoT‐driven sustainable urban development. Targeting a broad and diverse audience across multiple disciplines and fields, the book aims to share state‐of‐the‐art research, present innovative solutions, and forecast future trends in urban sustainability. As both a seminal reference and a valuable resource for researchers, practitioners, industry experts, and policymakers, it provides essential guidance for those engaged in driving technological innovation, steering urban transformation, promoting environmental sustainability, or working at the crossroads of these critical areas.
Author: Anish Jindal
Publisher: CRC Press
ISBN: 1000410986
Category : Computers
Languages : en
Pages : 323
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Book Description
Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book: Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.
Author: Fadi Al-Turjman
Publisher: Springer
ISBN: 9783030387112
Category : Technology & Engineering
Languages : en
Pages : 187
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Book Description
This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities. The challenges tackled vary from cost and energy efficiency to availability and service quality. The aim of this book is to focus on both the design and implementation aspects of the UAV-based approaches in IoT-enabled smart cities’ applications that are enabled and supported by wireless sensor networks, 5G, and beyond. The contributors mainly focus on data delivery approaches and their performability aspects. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Involves the most up to date unmanned aerial vehicles (UAV) assessment and evaluation approaches Includes innovative operational ideas in agriculture, surveillance, rescue, etc. Pertains researchers, scientists, engineers and practitioners in the field of smart cities, IoT, and communications Fadi Al-Turjman received his Ph.D. from Queen’s University, Canada. He is a full professor and a research center director at Near East University, Nicosia. He is a leading authority in the area of IoT and intelligent systems. His publication history spans over 250 publications inaddition to his editorialship in top journals such as the IEEE Communication Surveys and Tutorials, and the Elsevier Sustaibable Cities and Sociaty.
Author: Ashutosh Mishra
Publisher: Springer Nature
ISBN: 3031585232
Category :
Languages : en
Pages : 324
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Book Description
Author: William Lawless
Publisher: Academic Press
ISBN: 0128176377
Category : Computers
Languages : en
Pages : 306
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Book Description
Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these "things may affect individuals, teams, society or each other. Of particular focus is what may happen when these "things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other "things. - Considers the foundations, metrics and applications of IoE systems - Debates whether IoE systems should speak to humans and each other - Explores how IoE systems affect targeted audiences and society - Discusses theoretical IoT ecosystem models
Author: K. Saravanan
Publisher: CRC Press
ISBN: 1000405834
Category : Computers
Languages : en
Pages : 341
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Book Description
Handbook of Green Engineering Technologies for Sustainable Smart Cities focuses on the complete exploration and presentation of green smart city applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines. The book discusses and explores green engineering technologies for smart cities and covers various engineering disciplines and environmental science. It emphasizes techniques, application frameworks, tools, and case studies. All chapters play a part in the evolution of sustainable green smart cities and present how to solve environmental issues by applying modern industrial IoT solutions. This book will benefit researchers, smart city practitioners, academicians, university students, and policy makers.
Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3031274407
Category : Technology & Engineering
Languages : en
Pages : 592
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Book Description
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Author: Fadi Al-Turjman
Publisher: Elsevier
ISBN: 0323957846
Category : Political Science
Languages : en
Pages : 428
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Book Description
XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0—characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses—using XAI-based intelligent techniques—the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society. - Defines the basic terminology and concepts surrounding explainability and related topics to bring coherence to the field - Focuses on what techniques are available to improve explainability and how explainability can progress society - Offers a broad range of topics, addressing multiple facets of XAI within the context of Society 5.0
