Minkyu Kim
- (2023): Seismic damage identification by graph convolutional autoencoder using adjacency matrix based on structural modes. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 2 (November 2023).
- (2023): Effect of modeling assumptions on predicting seismic responses of a three‐story reinforced concrete shear wall structure. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 1 (28 October 2023).
- (2022): Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network. In: Journal of Engineering Mechanics (ASCE), v. 148, n. 3 (March 2022).
- (2020): Unsupervised Deep Neural Network for Near-real-time Damage Identification of Structures Subject to Earthquake Excitations. Presented at: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.
Structurae cooperates with
