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