| contributor author | Qiao, Zhihua | |
| contributor author | Liu, Tianming | |
| contributor author | Li, Zijian | |
| contributor author | Xi, Jianhui | |
| date accessioned | 2026-08-20T21:14:27Z | |
| date available | 2026-08-20T21:14:27Z | |
| date copyright | 2025/08/22 | |
| date issued | 2025 | |
| identifier other | JAEEEZ.ASENG-6451.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314167 | |
| description abstract | AbstractAnomalies in wind tunnel data can seriously affect data integrity, making efficient
anomaly detection essential for improving data-driven methods. Research has shown
that ensemble models for anomaly detection generally achieve better stability and
... | |
| publisher | American Society of Civil Engineers | |
| title | Anomaly Detection for Wind Tunnel Flow Field Based on Ensemble Learning | |
| type | Journal Article | |
| journal volume | 38 | |
| journal issue | 6 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/JAEEEZ.ASENG-6451 | |
| journal fristpage | 04025091-1 | |
| journal lastpage | 04025091-11 | |
| page | 11 | |
| tree | Journal of Aerospace Engineering:;2025:;Volume ( 038 ):;issue: 006 | |
| contenttype | Fulltext | |
