| contributor author | Oh, Dokyoon | |
| contributor author | Jeong, Seran | |
| contributor author | Bae, Suk-Kyoung | |
| contributor author | Kim, Byunghyun | |
| contributor author | Cho, Soojin | |
| date accessioned | 2026-08-20T21:22:54Z | |
| date available | 2026-08-20T21:22:54Z | |
| date copyright | 2025/03/31 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6240.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314366 | |
| description abstract | AbstractCracks are the most critical damage types on concrete structures, and they are commonly
assessed based on visual inspection. Recently, there have been many attempts to replace
conventional inspection with computer vision-based inspection powered ... | |
| publisher | American Society of Civil Engineers | |
| title | Training Deep Learning Segmentation Models Using Super-Resolution Crack Images for Detection of Thin Concrete Cracks | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6240 | |
| journal fristpage | 04025035-1 | |
| journal lastpage | 04025035-14 | |
| page | 14 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 004 | |
| contenttype | Fulltext | |
