Intelligent Systems for IoE Based Smart Cities
Intelligent Systems for IoE Based Smart Cities

Author: Arun Solanki

Publisher: Bentham Science Publishers

Published: 2023-09-27

Total Pages: 299

ISBN-13: 9815124978

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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.

Intelligent Systems for IoE Based Smart Cities
Intelligent Systems for IoE Based Smart Cities

Author: Arun Solanki

Publisher: Bentham Science Publishers

Published: 2023-09-27

Total Pages: 0

ISBN-13: 9789815124989

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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.

AI-Based Services for Smart Cities and Urban Infrastructure
AI-Based Services for Smart Cities and Urban Infrastructure

Author: Lyu, Kangjuan

Publisher: IGI Global

Published: 2020-09-04

Total Pages: 353

ISBN-13: 1799850250

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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.

Intelligent Systems for Smart Cities
Intelligent Systems for Smart Cities

Author: Anand J. Kulkarni

Publisher: Springer Nature

Published: 2024-01-02

Total Pages: 522

ISBN-13: 9819969840

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This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.

Intelligent Systems for Social Good
Intelligent Systems for Social Good

Author: Shyamapada Mukherjee

Publisher: Springer Nature

Published: 2022-06-11

Total Pages: 212

ISBN-13: 9811907706

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This book highlights the connections between two technologies: artificial intelligence (AI) and Internet of things (IoT). It presents the application of these two technologies to solve various societal problems related to healthcare, agriculture, green environment, renewable energies, smart cities, etc. Each chapter in this book presents novel solutions to these problems along with the challenges in the application of AI and IoT to solve them. It discusses the adverse attacks on machine Learning models and how to protect sensitive data over the IoT networks. It also includes the security issues in IoT and their possible solutions.

Explainable Artificial Intelligence for Smart Cities
Explainable Artificial Intelligence for Smart Cities

Author: Mohamed Lahby

Publisher: CRC Press

Published: 2021-11-09

Total Pages: 361

ISBN-13: 1000472361

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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.

Machine Learning for Smart Environments/Cities
Machine Learning for Smart Environments/Cities

Author: Gonçalo Marques

Publisher: Springer Nature

Published: 2022-04-05

Total Pages: 254

ISBN-13: 3030975169

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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.

AI and IoT for Smart City Applications
AI and IoT for Smart City Applications

Author: Vincenzo Piuri

Publisher: Springer Nature

Published: 2022-01-04

Total Pages: 241

ISBN-13: 9811674981

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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 IoE Driven Smart Cities
IoT and IoE Driven Smart Cities

Author: Samarendra Nath Sur

Publisher: Springer Nature

Published: 2021-12-15

Total Pages: 328

ISBN-13: 3030827151

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This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) for successful implementation of the IoT/IoE. The authors also address the development and advancement in cloud computing to support IoT and IoE. Research on the challenges and future predictions for efficiently implementing and exploring the benefits of smart cities are also explored. The book pertains to researchers, academics, and professionals in the field. Discusses the applicability of Internet of Things (IoT) and Internet of Everything (IoE) for smart cities; Addresses different protocols, networks, and technologies related to the implementation of IoT and IoE for smart cities; Provides a detailed overview on the physical and network layer design and signal processing algorithms related to IoT and IoE.

IoT and WSN based Smart Cities: A Machine Learning Perspective
IoT and WSN based Smart Cities: A Machine Learning Perspective

Author: Shalli Rani

Publisher: Springer Nature

Published: 2022-05-30

Total Pages: 288

ISBN-13: 3030841820

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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.