| 2022-07 | Development of ensemble machine learning models for evaluating seismic demands of steel moment frames | Nguyen, Hoang D.; Kim, JunHee; Shin, Myoungsu | ARTICLE | 640 |
| 2021-05 | Development of extreme gradient boosting model for prediction of punching shear resistance of R/C interior slabs | Nguyen, Hoang D.; Gia Toai Truong; Shin, Myoungsu | ARTICLE | 404 |
| 2021-12 | Effects of soil-structure interaction on seismic performance of a low-rise R/C moment frame considering material uncertainties | Nguyen, Hoang D.; Shin, Myoungsu | ARTICLE | 712 |
| 2022-08 | Hydrogenated Graphene with Tunable Poisson's Ratio Using Machine Learning: Implication for Wearable Devices and Strain Sensors | Ho, Viet Hung; Nguyen, Cao Thang; Nguyen, Hoang D.; Oh, Hyun Suk; Shin, Myoungsu; Kim, Sung Youb | ARTICLE | 312 |
| 2022-07 | Machine learning-based prediction for maximum displacement of seismic isolation systems | Nguyen, Hoang D.; Dao, Nhan D.; Shin, Myoungsu | ARTICLE | 630 |
| 2023-04 | Optimal intensity measures for probabilistic seismic demand models of steel moment frames | Nguyen, Hoang D.; Shin, Myoungsu; LaFave, James M. | ARTICLE | 934 |
| 2021-09 | Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting | Nguyen, Hoang D.; Dao, Nhan D.; Shin, Myoungsu | ARTICLE | 641 |
| 2022-02 | Rapid seismic damage-state assessment of steel moment frames using machine learning | Nguyen, Hoang D.; LaFave, James M.; Lee, Young-Joo; Shin, Myoungsu | ARTICLE | 435 |
| 2020-11 | Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function | Nguyen, Hoang D.; Shin, Myoungsu; Torbol, Marco | ARTICLE | 578 |
| 2023-08 | Seismic fragility analysis of steel moment frames using machine learning models | Nguyen, Hoang D.; Lee, Young-Joo; LaFave, James M.; Shin, Myoungsu | ARTICLE | 100 |
