| contributor author | Ma, Yu | |
| contributor author | Cui, Benben | |
| contributor author | Jiang, Wen | |
| contributor author | Yan, Laibao | |
| contributor author | Cui, Xiaotian | |
| date accessioned | 2026-08-20T21:27:20Z | |
| date available | 2026-08-20T21:27:20Z | |
| date copyright | 2026/02/25 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7088.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314481 | |
| description abstract | AbstractCracks are frequent defects that pose significant potential threats to structural
safety and property. Due to the inefficiency of traditional crack detection methods,
deep learning techniques—particularly convolutional neural networks—have become ...Practical ApplicationsThis study proposes a pluggable crack detection module designed for concrete structures.
The module can function as a standalone detection model or be seamlessly integrated
into existing detection frameworks. It enhances the ... | |
| publisher | American Society of Civil Engineers | |
| title | CMCAB: An Insertable Block for Concrete Crack Detection Based on Masked Convolution Attention | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7088 | |
| journal fristpage | 04026027-1 | |
| journal lastpage | 04026027-9 | |
| page | 9 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |