EGU26-2049, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-2049
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Deep Learning for Crack Detection in Hydraulic Structures
Wen-Cheng Liu1, Wei-Che Huang2, Yen-Ting Yu3, Yi-Hong Li4, and Bai-Jun Wang5
Wen-Cheng Liu et al.
  • 1National United University, Department of Civil and Disaster Prevention Engineering, Miao-Li, Taiwan (wcliu@nuu.edu.tw)
  • 2National United University, Department of Civil and Disaster Prevention Engineering, Miao-Li, Taiwan (e11856824@gmail.com)
  • 3National United University, Department of Civil and Disaster Prevention Engineering, Miao-Li, Taiwan
  • 4National United University, Department of Civil and Disaster Prevention Engineering, Miao-Li, Taiwan
  • 5National United University, Department of Civil and Disaster Prevention Engineering, Miao-Li, Taiwan

How to cite: Liu, W.-C., Huang, W.-C., Yu, Y.-T., Li, Y.-H., and Wang, B.-J.: Deep Learning for Crack Detection in Hydraulic Structures, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-2049, https://doi.org/10.5194/egusphere-egu26-2049, 2026.

This abstract has been withdrawn on 11 Aug 2026.