Byunghyun Kim
- Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization. Dans: Structural Control and Health Monitoring, v. 2023 (février 2023). (2023):
- Dam-Break Flood Model Uncertainty Assessment: Case Study of Extreme Flooding with Multiple Dam Failures in Gangneung, South Korea. Dans: Journal of Hydraulic Engineering, v. 142, n. 5 (mai 2016). (2016):
- (2020): Image-driven Bridge Inspection Framework using Deep Learning and Image Registration. Présenté pendant: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.
- Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 1 (19 décembre 2021). (2021):
- Image‐based concrete crack assessment using mask and region‐based convolutional neural network. Dans: Structural Control and Health Monitoring, v. 26, n. 8 (juillet 2019). (2019):