Son Hoang Trinh
- Enhanced bond strength prediction in corroded reinforced concrete using optimized ML models. Dans: Structures, v. 63 (mai 2024). (2024):
- Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete. Dans: Frontiers of Structural and Civil Engineering, v. 17, n. 2 (février 2023). (2023):
- Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models. Dans: Construction and Building Materials, v. 369 (mars 2023). (2023):
- Novel ensemble approach to predict the ultimate axial load of CFST columns with different cross-sections. Dans: Structures, v. 47 (janvier 2023). (2023):
- Prediction of interlayer shear strength of double-layer asphalt using novel hybrid artificial intelligence models of ANFIS and metaheuristic optimizations. Dans: Construction and Building Materials, v. 323 (mars 2022). (2022):