- Forecasting Mechanical Properties of Steel Structures Through Dynamic Metaheuristic Optimization for Adaptive Machine Learning. Dans: Journal of Civil Engineering and Management, v. 30, n. 5 (27 mai 2024). (2024):
- Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners. Dans: Construction and Building Materials, v. 408 (décembre 2023). (2023):
- Early estimation of the long-term deflection of reinforced concrete beams using surrogate models. Dans: Construction and Building Materials, v. 370 (mars 2023). (2023):
- Smart ensemble machine learner with hyperparameter-free for predicting bond capacity of FRP-to-concrete interface: Multi-national data. Dans: Construction and Building Materials, v. 345 (août 2022). (2022):
- Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles. Dans: Engineering Structures, v. 268 (octobre 2022). (2022):
- Scour depth prediction at bridge piers using metaheuristics-optimized stacking system. Dans: Automation in Construction, v. 140 (août 2022). (2022):