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

巡回

https://doi.org/10.1007/978-981-15-7146-6, 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

Limerick

https://doi.org/10.1007/978-981-15-7146-6nd 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

DEFER

协迫

https://doi.org/10.1007/978-981-15-7146-6NN model to maximise the accuracy at different learning rates. a sample of 4,663 images of highway cracks were collected and classified into three categories of cracks, namely, vertical cracks’, ‘horizontal and vertical cracks’ and ‘diagonal cracks’, subsequently, using ‘Matlab’ to classify the samp

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Grandstand

Introduction,Despite its significant impact on industrial employment (i.e. over 6.6% contribution) and representation of 9.8% of the UK’s Gross Domestic Product, the AEC industry has been continuously criticised due to its fragmentation for over five decades, resulting in several major industry reports.

Mechanics

The Application of Blockchain of Things (BCoT) in the Construction Industry,mbraced this integration, application in other areas such as construction remains limited. The scientometric analysis is applied to 648 papers, identifying the use of IoT and blockchain in engineering and evaluating the progress of research in the construction industry. The qualitative critical revi

聋子

和蔼

Developing a Conceptual Framework to Implement Distributed Ledged Technology (DLT) in Construction integrated into the construction projects to automate financial transactions; for better transparency, security, and control. Existing research highlights that permissioned blockchain can work as a platform to create a business network among project participants due to its features being consistent

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