- The quintenary influence of industrial wastes on the compressive strength of high-strength geopolymer concrete under different curing regimes for sustainable structures; a GSVR-XGBoost hybrid model. In: Frontiers in Built Environment, v. 10 (February 2024). (2024):
- Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques. In: Frontiers in Built Environment, v. 10 (February 2024). (2024):
- Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete. In: Case Studies in Construction Materials, v. 17 (December 2022). (2022):
- Latest concrete materials dataset and ensemble prediction model for concrete compressive strength containing RCA and GGBFS materials. In: Construction and Building Materials, v. 325 (March 2022). (2022):
- (2022): Shear Strength Prediction of Slender Steel Fiber Reinforced Concrete Beams Using a Gradient Boosting Regression Tree Method. In: Buildings, v. 12, n. 5 (24 April 2022).
- Investigating the Latent Factors of Quality of Work-Life Affecting Construction Craft Worker Job Satisfaction. In: Journal of Construction Engineering and Management, v. 143, n. 5 (May 2017). (2017):