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

輕佻

書目名稱Blockchain of Things and Deep Learning Applications in Construction影響因子(影響力)




書目名稱Blockchain of Things and Deep Learning Applications in Construction影響因子(影響力)學(xué)科排名




書目名稱Blockchain of Things and Deep Learning Applications in Construction網(wǎng)絡(luò)公開度




書目名稱Blockchain of Things and Deep Learning Applications in Construction網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Blockchain of Things and Deep Learning Applications in Construction被引頻次




書目名稱Blockchain of Things and Deep Learning Applications in Construction被引頻次學(xué)科排名




書目名稱Blockchain of Things and Deep Learning Applications in Construction年度引用




書目名稱Blockchain of Things and Deep Learning Applications in Construction年度引用學(xué)科排名




書目名稱Blockchain of Things and Deep Learning Applications in Construction讀者反饋




書目名稱Blockchain of Things and Deep Learning Applications in Construction讀者反饋學(xué)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

假裝是你

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

強(qiáng)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