9781041146407 - internet of things and green technologies for smart environment (18 resultados)
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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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EUR 160,89
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hardcover. Condición: Fine.
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EUR 214,24
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EUR 214,08
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 230,72
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EUR 217,83
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EUR 241,98
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 249,00
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 256,70
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 263,22
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 255,01
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 440 pages. 9.18x6.12x9.45 inches. In Stock.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 260,14
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Hardcover. Condición: new. Hardcover. 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 le…arning 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. 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 219,01
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mourade Azrour received his PhD from Faculty of Sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in Computer and Distributed Systems from the Faculty of Sciences, Ibn Zouhr…University, Agadir, Morocco in.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 260,36
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Hardcover. Condición: new. Hardcover. 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 le…arning 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. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 227,00
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Buch. Condición: Neu. Internet of Things and Green Technologies for Smart Environment | Mourade Azrour (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041146407 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on…Demand.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 286,71
Envío por EUR 32,05Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. 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 le…arning 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. 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 287,00
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 usin…g artificial neural networks.
