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Showing results 7 to 15 of 15

Hydrogenated Graphene with Tunable Poisson's Ratio Using Machine Learning: Implication for Wearable Devices and Strain Sensors File

Ho, Viet Hung , Nguyen, Cao Thang , Nguyen, Hoang D. , Oh, Hyun Suk , Shin, Myoungsu , Kim, Sung Youb

Article Issue Date2022-08 View57
Incorporation of machine learning into multiple stripe seismic fragility analysis of reinforced concrete wall structures File

Nguyen, Hoang D. , Kim, Chanyoung , Lee, Young-Joo , Shin, Myoungsu

Article Issue Date2024-11 View47
Machine learning models for predicting maximum displacement of triple pendulum isolation systems File

Nguyen, Nam, V , Nguyen, Hoang D. , Dao, Nhan D.

Article Issue Date2022-02 View28
Machine learning-based prediction for maximum displacement of seismic isolation systems File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2022-07 View39
Optimal intensity measures for probabilistic seismic demand models of steel moment frames File

Nguyen, Hoang D. , Shin, Myoungsu , LaFave, James M.

Article Issue Date2023-04 View59
Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2021-09 View71
Rapid seismic damage-state assessment of steel moment frames using machine learning File

Nguyen, Hoang D. , LaFave, James M. , Lee, Young-Joo , Shin, Myoungsu

Article Issue Date2022-02 View59
Reliability assessment of a planar steel frame subjected to earthquakes in case of an implicit limit-state function File

Nguyen, Hoang D. , Shin, Myoungsu , Torbol, Marco

Article Issue Date2020-11 View31
Seismic fragility analysis of steel moment frames using machine learning models File

Nguyen, Hoang D. , Lee, Young-Joo , LaFave, James M. , Shin, Myoungsu

Article Issue Date2023-08 View79
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