LEADER 05144nam 22006615 450 001 9910627274103321 005 20251204105345.0 010 $a3-031-06829-7 024 7 $a10.1007/978-3-031-06829-4 035 $a(MiAaPQ)EBC7042236 035 $a(Au-PeEL)EBL7042236 035 $a(CKB)24242677900041 035 $a(PPN)263902846 035 $a(OCoLC)1336403262 035 $a(DE-He213)978-3-031-06829-4 035 $a(EXLCZ)9924242677900041 100 $a20220709d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBlockchain of Things and Deep Learning Applications in Construction $eDigital Construction Transformation /$fby Faris Elghaish, Farzad Pour Rahimian, Tara Brooks, Nashwan Dawood, Sepehr Abrishami 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (203 pages) 225 1 $aEngineering Series 311 08$aPrint version: Elghaish, Faris Blockchain of Things and Deep Learning Applications in Construction Cham : Springer International Publishing AG,c2022 9783031068287 320 $aIncludes bibliographical references and index. 327 $aBlockchain applications in Construction: A comprehensive review -- Scientometric analysis of blockchain uses in construction -- Internet of Things (IoT) applications in Construction: A comprehensive review -- Blockchain of Things (BCoT): Beyond the concept -- Integrated Project Delivery with Blockchain: Sharing risk/reward system -- The feasibility of blockchain for Integrated Project Delivery (IPD): An exploratory Study -- A decentralised financial system-based blockchain: Towards digitalised construction -- A comprehensive solution for financial challenges in the construction industry: Blockchain-based solution -- Smart Common Data Environment (SCDE) based blockchain: An automated collaboration platform -- Deep learning applications in the construction industry: A critical analysis -- Developing a new deep learning CNN model to detect and classify highway cracks -- An optimized CNN model to detect irregular pavement distresses: Face recognition-based solution -- Integrating Artificial intelligence into immersive and drones technologies: A conceptual framework and practical use cases. 330 $aThis book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches. The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced to exploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book?s chapters. This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction. 410 0$aEngineering Series 606 $aBuildings$xDesign and construction 606 $aInternet of things 606 $aBlockchains (Databases) 606 $aConstruction industry$xManagement 606 $aBuilding Construction and Design 606 $aInternet of Things 606 $aBlockchain 606 $aConstruction Management 615 0$aBuildings$xDesign and construction. 615 0$aInternet of things. 615 0$aBlockchains (Databases) 615 0$aConstruction industry$xManagement. 615 14$aBuilding Construction and Design. 615 24$aInternet of Things. 615 24$aBlockchain. 615 24$aConstruction Management. 676 $a006.3 676 $a624.0285 700 $aElghaish$b Faris$01267461 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910627274103321 996 $aBlockchain of Things and Deep Learning Applications in Construction$92980252 997 $aUNINA