Titlebook: Blockchain of Things and Deep Learning Applications in Construction; Digital Construction Faris Elghaish,Farzad Pour Rahimian,Sepehr Abrish

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Deep Learning to Improve Construction Site Management Tasks,, this article evaluates the current state of utilising deep learning in the construction management tasks to enable researchers to determine the capabilities of current solutions and find research gaps to carry out more research to bridge revealed knowledge and practice gaps. First, the scientometr

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Detecting Distresses in Buildings and Highway Pavements-Based Deep Learning Technology,nd maintenance actions lead to rapid deterioration, decreased service life, lower level of service and increased community disruption. Therefore, this chapter aims at providing (1) a state-of-the-art review of the literature concerning deep learning techniques for detecting distress in both pavement

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An Automated 4D BIM Model Development and Optimization,re is a methodology for this integration, the BIM requires some improvements to foster the adoption of IPD. This chapter presents an innovative way to support the 4D BIM automation/optimisation within the IPD approach. This research proposes a planning library similar to structural and architectural

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