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Condition: As New. Unread book in perfect condition.
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Industry 4.0 Solutions for Building Design and Construction : A Paradigm of New Opportunities
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Industry 4.0 Solutions for Building Design and Construction : A Paradigm of New Opportunities
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 122.60
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Add to basketPaperback. Condition: Brand New. 413 pages. 9.50x6.75x1.00 inches. In Stock.
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Blockchain of Things and Deep Learning Applications in Construction: Digital Construction Transformation
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Industry 4.0 Solutions for Building Design and Construction: A Paradigm of New Opportunities
Language: English
Published by Routledge 2021-12-21, 2021
ISBN 10: 036761880X ISBN 13: 9780367618803
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Industry 4.0 Solutions for Building Design and Construction : A Paradigm of New Opportunities
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Blockchain of Things and Deep Learning Applications in Construction (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Hardcover. Condition: 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.
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Industry 4.0 Solutions for Building Design and Construction : A Paradigm of New Opportunities
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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US$ 231.78
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Add to basketGebunden. Condition: 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.
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Blockchain of Things and Deep Learning Applications in Construction : Digital Construction Transformation
Language: English
Published by Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031068319 ISBN 13: 9783031068317
Taschenbuch. Condition: 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.
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Blockchain of Things and Deep Learning Applications in Construction : Digital Construction Transformation
Language: English
Published by Springer International Publishing, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Buch. Condition: 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.
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Blockchain of Things and Deep Learning Applications in Construction
Language: English
Published by Springer International Publishing, Springer International Publishing Jul 2022, 2022
ISBN 10: 3031068289 ISBN 13: 9783031068287
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 146 pages. 9.25x6.10x0.47 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 206 pages. 9.25x6.10x0.44 inches. In Stock.
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US$ 316.56
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Add to basketHardcover. Condition: Brand New. 206 pages. 9.25x6.10x0.67 inches. In Stock.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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US$ 406.25
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Condition: 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.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Platform Based Design and Immersive Technologies for Manufacturing and Assembly in Offsite Construction
Language: English
Published by Springer Verlag GmbH, 2024
ISBN 10: 3031329953 ISBN 13: 9783031329951
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
