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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 69,93
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 70,62
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 105,69
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Añadir al carritoPaperback. Condición: Brand New. 413 pages. 9.50x6.75x1.00 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Buchpark, Trebbin, Alemania
EUR 92,81
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches.The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced toexploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book¿s chapters.This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 186,21
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Añadir al carritoHardcover. Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 207,12
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Añadir al carritoCondición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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EUR 209,30
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Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 220,96
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Añadir al carritoHardcover. Condición: new. Hardcover. This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches.The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced toexploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the books chapters.This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 219,99
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Añadir al carritoCondición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 220,38
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 218,17
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 208,96
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Librería: preigu, Osnabrück, Alemania
EUR 157,95
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Añadir al carritoTaschenbuch. Condición: Neu. Blockchain of Things and Deep Learning Applications in Construction | Digital Construction Transformation | Faris Elghaish (u. a.) | Taschenbuch | xiii | Englisch | 2023 | Springer | EAN 9783031068317 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 234,94
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Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031068319 ISBN 13: 9783031068317
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches.The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced toexploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book's chapters.This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.
Idioma: Inglés
Publicado por Springer International Publishing, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches.The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced toexploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book's chapters.This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 243,43
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Añadir al carritoHardcover. Condición: Brand New. 146 pages. 9.25x6.10x0.47 inches. In Stock.
EUR 204,59
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Añadir al carritoGebunden. Condición: New. Farzad Pour Rahimian is a Professor of Digital Engineering and Manufacturing at Teesside University, UK.Jack Steven Goulding is Professor of Construction Project Management at the University of Wolverhampton, UK a.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 271,29
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Añadir al carritoPaperback. Condición: Brand New. 206 pages. 9.25x6.10x0.44 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 272,82
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Añadir al carritoHardcover. Condición: Brand New. 206 pages. 9.25x6.10x0.67 inches. In Stock.
Librería: moluna, Greven, Alemania
EUR 61,20
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Farzad Pour Rahimian is a Professor of Digital Engineering and Manufacturing at Teesside University, UK.Jack Steven Goulding is Professor of Construction Project Management at the University of Wolverhampton, UK a.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: moluna, Greven, Alemania
EUR 107,09
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.