Jeongjun Park
- Damage detection for railway bridges using time‐frequency decomposition and conditional generative model. Dans: Computer-Aided Civil and Infrastructure Engineering. :
- Semantic segmentation of bridge components based on hierarchical point cloud model. Dans: Automation in Construction, v. 130 (octobre 2021). (2021):
- 베이지안 네트워크와 AHP (Analytic Hierarchy Process)를 활용한 쉴드 TBM 터널 리스크 분석 (Overall risk analysis of shield TBM tunnelling using Bayesian Networks (BN) and Analytic Hierarchy Process (AHP)). Dans: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 18, n. 5 (septembre 2016). (2016):
- A TBM 현장에서 막장전방 예측기법 결과의 확률론적 분석을 통한 지반상태 평가 (probabilistic assessment of ground condition prediction ahead of TBM tunnels combining each geophysical prediction method). Dans: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 18, n. 3 (mai 2016). (2016):
- 막장전방 예측기법에 근거한 TBM 터널의 리스크 관리 시스템 개발 및 현장적용 (TBM risk management system considering predicted ground condition ahead of tunnel face: methodology development and application). Dans: Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집), v. 18, n. 1 (30 janvier 2016). (2016):
- Predicting anomalous zone ahead of tunnel face utilizing electrical resistivity: I. Algorithm and measuring system development. Dans: Tunnelling and Underground Space Technology, v. 60 (novembre 2016). (2016):
- Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels. Dans: Tunnelling and Underground Space Technology, v. 49 (juin 2015). (2015):