Intelligent Systems For Ioe Based Smart Cities
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Intelligent Systems for IoE Based Smart Cities
Author: Arun Solanki
language: en
Publisher: Bentham Science Publishers
Release Date: 2023-09-27
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.
Intelligent Systems for IoE Based Smart Cities
Author: Arun Solanki
language: en
Publisher: Bentham Science Publishers
Release Date: 2023-09-27
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.
Artificial Intelligence of Things for Smarter Eco-Cities
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.