Hoang D. Nguyen
- (2024): An integrated machine-learning platform for assessing various dynamic responses of steel beams. Dans: Structures, v. 61 (mars 2024).
- : Rapid damage state classification for underground box tunnels using machine learning. Dans: Structure and Infrastructure Engineering.
- (2023): Optimal intensity measures for probabilistic seismic demand models of steel moment frames. Dans: Journal of Building Engineering, v. 65 (avril 2023).
- (2022): Machine learning-based prediction for maximum displacement of seismic isolation systems. Dans: Journal of Building Engineering, v. 51 (juillet 2022).
- (2022): Machine learning models for predicting maximum displacement of triple pendulum isolation systems. Dans: Structures, v. 36 (février 2022).
- (2022): Rapid seismic damage-state assessment of steel moment frames using machine learning. Dans: Engineering Structures, v. 252 (février 2022).
- (2021): Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting. Dans: Engineering Structures, v. 242 (septembre 2021).
- (2021): Effects of soil–structure interaction on seismic performance of a low-rise R/C moment frame considering material uncertainties. Dans: Journal of Building Engineering, v. 44 (décembre 2021).
- (2021): Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs. Dans: Engineering Structures, v. 235 (mai 2021).
- (2020): Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function. Dans: Journal of Building Engineering, v. 32 (novembre 2020).
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