- Estimation and Evaluation of Water Damage Resistance of Warm-Stone Matrix Asphalt Mixture with Compound Polymer Modifiers Using Regression Tree Ensemble Method. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 2 (février 2024). (2024):
- Evaluating the substitution potential of SBS with crumb rubber-polypropylene blends as asphalt binder and mixture modifiers. Dans: Construction and Building Materials, v. 359 (décembre 2022). (2022):
- Development of prediction models for moisture susceptibility of asphalt mixture containing combined SBR, waste CR and ASA using support vector regression and artificial neural network methods. Dans: Construction and Building Materials, v. 322 (mars 2022). (2022):
- Prediction of moisture resistance of asphalt mastics modified by liquid anti stripping based on support vector regression, artificial neural network and Kernel-based support vector regression methods. Dans: Construction and Building Materials, v. 335 (juin 2022). (2022):
- Using Artificial Neural Network Methods for Modeling Moisture Susceptibility of Asphalt Mixture Modified by Nano TiO2. Dans: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 6 (juin 2022). (2022):