Hamza Imran 
- (2024): 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. Dans: Frontiers in Built Environment, v. 10 (février 2024).
- (2024): Estimating the compressive strength of lightweight foamed concrete using different machine learning-based symbolic regression techniques. Dans: Frontiers in Built Environment, v. 10 (février 2024).
- (2022): Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022).
- (2022): Latest concrete materials dataset and ensemble prediction model for concrete compressive strength containing RCA and GGBFS materials. Dans: Construction and Building Materials, v. 325 (mars 2022).
- (2022): Shear Strength Prediction of Slender Steel Fiber Reinforced Concrete Beams Using a Gradient Boosting Regression Tree Method. Dans: Buildings, v. 12, n. 5 (24 avril 2022).
- (2017): Investigating the Latent Factors of Quality of Work-Life Affecting Construction Craft Worker Job Satisfaction. Dans: Journal of Construction Engineering and Management, v. 143, n. 5 (mai 2017).
Structurae coopère avec
