| contributor author | Zhang, Chunzheng | |
| contributor author | Mu, Tianwei | |
| contributor author | Ning, Baokuan | |
| contributor author | Wang, Xingkai | |
| contributor author | Ma, Yuan | |
| date accessioned | 2026-08-20T21:24:31Z | |
| date available | 2026-08-20T21:24:31Z | |
| date copyright | 2025/06/05 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6621.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314405 | |
| description abstract | AbstractTo enhance the precision and efficiency of concrete crack detection and segmentation
in concrete structures, this paper proposes a novel Res-FPN–SqueezeNet segmentation
model improved by the SqueezeNet convolutional neural network based on a deep ... | |
| publisher | American Society of Civil Engineers | |
| title | Res-FPN–SqueezeNet Segmentation Architecture for Enhanced Identification of Concrete Cracks within a Deep-Learning Framework | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6621 | |
| journal fristpage | 04025061-1 | |
| journal lastpage | 04025061-13 | |
| page | 13 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005 | |
| contenttype | Fulltext | |
