Internet of Things and Green Technologies for Smart Environment

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Bol The text covers essential aspects such as the design and control of smart systems, advanced networking techniques, and the application of machine learning for predictive analytics. It discusses the analysis and prediction of hydrogen yield using artificial neural networks. This book showcases the use of the Internet of Things (IoT) for new applications in a smart environment. It further discusses the recent innovations and applications of artificial intelligence for managing environmental resources. Key Features: Showcases how artificial intelligence and deep learning technologies can be applied to large-scale data analysis for environment monitoring, enabling accurate follow-up of critical ecosystem health. Discusses energy performance strategies and includes a wide range of strategies and technologies designed to reduce energy consumption and promote new energy production. Presents IoT innovative solutions that largely enhance environmental quality by enabling smart monitoring, data collection, and real-time analysis. Highlights how artificial intelligence is transforming energy management by providing new innovative solutions that optimize energy use, enhance efficiency, and facilitate the integration of renewable energy resources. Illustrates sustainable technologies and solutions that seek to decrease energy usage, minimize waste, and reduce carbon footprints through the careful utilization of natural resources over the entire computing system. This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

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The text covers essential aspects such as the design and control of smart systems, advanced networking techniques, and the application of machine learning for predictive analytics. It discusses the analysis and prediction of hydrogen yield using artificial neural networks. This book showcases the use of the Internet of Things (IoT) for new applications in a smart environment. It further discusses the recent innovations and applications of artificial intelligence for managing environmental resources. Key Features: Showcases how artificial intelligence and deep learning technologies can be applied to large-scale data analysis for environment monitoring, enabling accurate follow-up of critical ecosystem health. Discusses energy performance strategies and includes a wide range of strategies and technologies designed to reduce energy consumption and promote new energy production. Presents IoT innovative solutions that largely enhance environmental quality by enabling smart monitoring, data collection, and real-time analysis. Highlights how artificial intelligence is transforming energy management by providing new innovative solutions that optimize energy use, enhance efficiency, and facilitate the integration of renewable energy resources. Illustrates sustainable technologies and solutions that seek to decrease energy usage, minimize waste, and reduce carbon footprints through the careful utilization of natural resources over the entire computing system. This book is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

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Pagina's: 304, Editie: Eerste editie, Hardcover, CRC Press


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  • 9781041146407
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