| contributor author | Liao, Chunyan | |
| contributor author | Liang, Wei | |
| contributor author | Liu, Shuanglei | |
| contributor author | Huang, Tianchang | |
| contributor author | Wu, Linyu | |
| date accessioned | 2026-08-20T12:06:40Z | |
| date available | 2026-08-20T12:06:40Z | |
| date copyright | 2026/03/30 | |
| date issued | 2026 | |
| identifier other | JPSEA2.PSENG-1971.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313110 | |
| description abstract | AbstractThe class imbalance of crack defects in oil and gas pipelines presents a significant
challenge to the diagnosis of pipeline integrity, and the scarcity of high-risk cracks
can easily lead to the recognition models tending to predict them as the ... | |
| publisher | American Society of Civil Engineers | |
| title | Intelligent Identification for Imbalanced Oil–Gas Pipeline Defects Based on Triple Attention Mechanism and Dual-Modal Deep Convolution Network | |
| type | Journal Article | |
| journal volume | 17 | |
| journal issue | 3 | |
| journal title | Journal of Pipeline Systems Engineering and Practice | |
| identifier doi | 10.1061/JPSEA2.PSENG-1971 | |
| journal fristpage | 04026023-1 | |
| journal lastpage | 04026023-20 | |
| page | 20 | |
| tree | Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 003 | |
| contenttype | Fulltext | |
