Prediction of air voids of asphalt layers by intelligent algorithm

Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks

Hongren Gong, Yiren Sun, Zijun Mei et al. · Construction and Building Materials · 2018 · 120 citations

Geotechnical Engineering, Highway Pavement, Deep Neural Networks +7

Adaptive quality control and acceptance of pavement material density for intelligent road construction

Qinwu Xu, George K. Chang · Automation in Construction · 2015 · 109 citations

Highway Pavement, Construction Technology, Intelligent Traffic Management +12

Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model

Yimiao Huang, Junfei Zhang, Foo Tze Ann et al. · Construction and Building Materials · 2020 · 102 citations · Full text

Intelligent Mixture Design, Engineering, Hybrid Algorithm +10

Neural Network–Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes

Sesh Commuri, Trung-Anh Do, Musharraf Zaman · Journal of Construction Engineering and Management · 2011 · 71 citations

The use of artificial neural networks for modeling air void content in aggregate mixture

Nataša Zavrtanik, Janez Prosen, Marjan Tušar et al. · Automation in Construction · 2015 · 70 citations

Air Sampling, Environmental Monitoring, Engineering +9