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  • Smart IoT for Sustainable Development

    This book explores the role of the Internet of Things (IoT) in achieving sustainable development goals (SDGs). It provides a comprehensive overview of how IoT technologies enhance energy efficiency, promote clean energy, support environmental monitoring, and facilitate sustainable practices across various sectors. It features real-world case studies, explores key challenges and opportunities, and ... Leer más

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  • Challenges in Information, Communication and Computing Technology

    Proceedings of the 2nd International Conference on Challenges in Information, Communication, and Computing Technology (ICCICCT 2024), April 26th & 27th, 2024, Namakkal, Tamil Nadu, India

    This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this ... Leer más

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  • AI for Climate Change and Environmental Sustainability

    Series series Artificial Intelligence for Sustainable Engineering and Management
    This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events.AI for Climate Change and Environmental Sustainability identifies and ... Leer más

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  • Future of AI, IoT, and Sustainability

    Series series Intelligent Technologies and Robotics (R0)
    In an era where technological advancements are reshaping industries and societies, the convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and Sustainability initiatives is driving unprecedented change. "Future of AI, IoT, and Sustainability" explores the transformative power of these technologies and their role in creating a more sustainable, efficient, and interconnected ... Leer más

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  • The Convergence of Self-Sustaining Systems With AI and IoT

    Amidst the dynamic landscape of academic discourse, a pivotal challenge beckons scholars to explore the profound convergence of self-sustaining systems with artificial intelligence (AI) and the Internet of Things (IoT). This convergence is rapidly reshaping our understanding of sustainability, resource management, and operational efficiency across various fields and industries. Picture a world ... Leer más

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  • Computer Vision Techniques for Agricultural Advancements

    The integration of computer vision into agriculture addresses critical societal challenges, including food security and environmental sustainability. By enabling precise crop monitoring, early disease detection, and resource-efficient farming practices, it helps optimize food production to meet the needs of a growing global population. This technology also reduces waste and minimizes environmental ... Leer más

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  • Smart Sensors for Industry 4.0

    Fundamentals, Fabrication and IIoT Applications

    Series series Advances in Learning Analytics for Intelligent Cloud-IoT Systems
    Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era.Over the last decade, technologies like the Internet of Things (IoT), big data, cloud ... Leer más

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  • Unleashing the Power of Blockchain and IoT for Water Informatics

    Series series Computer Science (R0)
    This book explores how technology can enhance water management by promoting transparency, sustainability, and collaborative decision-making. It highlights the potential of the Internet of Things (IoT) and blockchain technologies to address water-related challenges through secure data storage, decentralized information sharing, and real-time monitoring. Key themes include the role of blockchain in ... Leer más

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  • Deep Learning and Blockchain Technology for Smart and Sustainable Cities

    Series series Advances in Computational Collective Intelligence
    In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to ... Leer más

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  • Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries

    Edición de Neha Goel, Ravindra Kumar Yadav ...
    Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology ... Leer más

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  • Intelligent Systems and Sustainable Solutions for AIOT-Powered Environmental Monitoring

    The integration of artificial intelligence (AI) and the Internet of Things (IoT), collectively known as AIoT, revolutionizes environmental monitoring by enabling intelligent, data-driven, and sustainable solutions. AIoT-powered systems combine real-time data collection from sensors with advanced analytics and machine learning algorithms to monitor, predict, and manage environmental changes. These ... Leer más

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  • Climate Smart Agriculture

    Transform the future of sustainable farming with this guide to mastering deep reinforcement learning architectures and algorithms that turn complex environmental data into precise, high-yield decisions for climate-smart agriculture. It conveys the importance of deep reinforcement learning and its technological advancements across climate-smart agriculture applications, addresses challenges related ... Leer más

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