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

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书目名称Blockchain of Things and Deep Learning Applications in Construction影响因子(影响力)




书目名称Blockchain of Things and Deep Learning Applications in Construction影响因子(影响力)学科排名




书目名称Blockchain of Things and Deep Learning Applications in Construction网络公开度




书目名称Blockchain of Things and Deep Learning Applications in Construction网络公开度学科排名




书目名称Blockchain of Things and Deep Learning Applications in Construction被引频次




书目名称Blockchain of Things and Deep Learning Applications in Construction被引频次学科排名




书目名称Blockchain of Things and Deep Learning Applications in Construction年度引用




书目名称Blockchain of Things and Deep Learning Applications in Construction年度引用学科排名




书目名称Blockchain of Things and Deep Learning Applications in Construction读者反馈




书目名称Blockchain of Things and Deep Learning Applications in Construction读者反馈学科排名

GIBE

Employing Blockchain Towards Safer and Interconnected Cost Management of Construction Projects,greed endorsement policy. Finally, the proposed system is tested on a real-life case project, where results corroborate its ability and workability in providing a secure and scalable platform for all project parties.

Metamorphosis

Synchronism

拱形面包

Deep Learning to Improve Construction Site Management Tasks, automating safety warning for workers, managing construction equipment, and integrating IoT with deep learning to collect data from the site automatically. The thematic and gap analysis refers to many successful cases of deep learning in automating site management tasks. However, more validations a

Gullible

Detecting Distresses in Buildings and Highway Pavements-Based Deep Learning Technology,compared to assessing and evaluating buildings’ structural health. There is a need for studies that compare different CNN models to foster the development of an integrated solution that considers the data collection method. Further research is required to examine the setup, implementation, running c

假装是你

An Automated 4D BIM Model Development and Optimization,tudy shows the significance of integrating Activity-Based Costing (ABC) into 4D BIM to configure the hierarchy level of overhead activities with the IPD approach. Therefore, the most contribution level in managing the IPD project was by the trade package level by 33.33%, and the minimum contribution

强行引入

Deep Learning to Detect and Classify Highway Distresses Based on Optimised CNN Model,lassifying and detecting the samples exceeded the top-5 accuracy for the pre-trained AlexNet model around 3% and by 0.2% for the GoogleNet model. The accurate model here is the GoogleNet model, as the accuracy is 89.08%, and it is higher than AlexNet by 1.26%. At the same time, the computed accuracy

Lineage

https://doi.org/10.1007/978-981-15-7146-6greed endorsement policy. Finally, the proposed system is tested on a real-life case project, where results corroborate its ability and workability in providing a secure and scalable platform for all project parties.

Implicit