| Development of extreme gradient boosting model for prediction of punching shear resistance of r/c interior slabs HD Nguyen, GT Truong, M Shin Engineering Structures 235, 112067, 2021 | 62 | 2021 |
| Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting HD Nguyen, ND Dao, M Shin Engineering Structures 242, 112518, 2021 | 40 | 2021 |
| Rapid seismic damage-state assessment of steel moment frames using machine learning HD Nguyen, JM LaFave, YJ Lee, M Shin Engineering Structures 252, 113737, 2022 | 39 | 2022 |
| Machine learning-based prediction for maximum displacement of seismic isolation systems HD Nguyen, ND Dao, M Shin Journal of Building Engineering 51, 104251, 2022 | 24 | 2022 |
| Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function HD Nguyen, M Shin, M Torbol Journal of Building Engineering 32, 101782, 2020 | 21 | 2020 |
| Machine learning models for predicting maximum displacement of triple pendulum isolation systems NV Nguyen, HD Nguyen, ND Dao Structures 36, 404-415, 2022 | 18 | 2022 |
| Effects of soil–structure interaction on seismic performance of a low-rise R/C moment frame considering material uncertainties HD Nguyen, M Shin Journal of Building Engineering 44, 102713, 2021 | 13 | 2021 |
| Optimal intensity measures for probabilistic seismic demand models of steel moment frames HD Nguyen, M Shin, JM LaFave Journal of Building Engineering 65, 105629, 2023 | 11 | 2023 |
| Comparative study on the performance of different machine learning techniques to predict the shear strength of RC deep beams: Model selection and industry implications K Le Nguyen, HT Trinh, TT Nguyen, HD Nguyen Expert Systems with Applications 230, 120649, 2023 | 10 | 2023 |
| Hydrogenated graphene with tunable poisson’s ratio using machine learning: implication for wearable devices and strain sensors VH Ho, CT Nguyen, HD Nguyen, HS Oh, M Shin, SY Kim ACS Applied Nano Materials 5 (8), 10617-10627, 2022 | 6 | 2022 |
| Development of ensemble machine learning models for evaluating seismic demands of steel moment frames HD Nguyen, JH Kim, M Shin Steel and Composite Structures 44 (1), 49-63, 2022 | 4 | 2022 |
| Seismic fragility analysis of steel moment frames using machine learning models HD Nguyen, YJ Lee, JM LaFave, M Shin Engineering Applications of Artificial Intelligence 126, 106976, 2023 | 3 | 2023 |
| Rapid damage state classification for underground box tunnels using machine learning VQ Nguyen, HD Nguyen, F Petrone, D Park Structure and Infrastructure Engineering, 1-14, 2023 | 1 | 2023 |
| An integrated machine-learning platform for assessing various dynamic responses of steel beams JH Rhee, HD Nguyen, MK Kim, YM Lim, G Kim Structures 61, 106125, 2024 | | 2024 |
| Development of extreme gradient boosting model for predicting seismic demands of steel moment frames H Nguyen, M Shin 울산과학기술원, 2021 | | 2021 |
| Machine learning for fragility analysis of steel moment frames H Nguyen, M Shin 한국지진공학회, 2021 | | 2021 |
Myoungsu ShinUNISTVerified email at unist.ac.kr
