Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 68,91
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 76,34
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 69,79
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 70,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 105,77
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 413 pages. 9.50x6.75x1.00 inches. In Stock.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 174,43
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 188,78
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: Buchpark, Trebbin, Germania
EUR 92,81
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Chiron Media, Wallingford, Regno Unito
EUR 185,84
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Majestic Books, Hounslow, Regno Unito
EUR 218,05
Quantità: 3 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 208,58
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: preigu, Osnabrück, Germania
EUR 157,95
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031068319 ISBN 13: 9783031068317
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 181,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 181,89
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 243,63
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 146 pages. 9.25x6.10x0.47 inches. In Stock.
EUR 204,59
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Aggiungi al carrelloGebunden. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 271,54
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 206 pages. 9.25x6.10x0.44 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 273,05
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 206 pages. 9.25x6.10x0.67 inches. In Stock.
Da: moluna, Greven, Germania
EUR 61,20
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Aggiungi al carrelloCondizione: 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.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: moluna, Greven, Germania
EUR 107,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.