| dc.contributor.author | Qiao, Zhihua | |
| dc.contributor.author | Liu, Tianming | |
| dc.contributor.author | Li, Zijian | |
| dc.contributor.author | Xi, Jianhui | |
| dc.date.accessioned | 2026-08-20T21:14:27Z | |
| dc.date.available | 2026-08-20T21:14:27Z | |
| dc.date.copyright | 2025/08/22 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JAEEEZ.ASENG-6451.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314167 | |
| dc.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
... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Anomaly Detection for Wind Tunnel Flow Field Based on Ensemble Learning | |
| dc.type | Journal Article | |
| dc.journal.volume | 38 | |
| dc.journal.issue | 6 | |
| dc.journal.title | Journal of Aerospace Engineering | |
| dc.identifier.doi | 10.1061/JAEEEZ.ASENG-6451 | |
| dc.journal.fristpage | 04025091-1 | |
| dc.journal.lastpage | 04025091-11 | |
| dc.page | 11 | |
| dc.tree | Journal of Aerospace Engineering:;2025:;Volume ( 038 ):;issue: 006 | |
| dc.contenttype | Fulltext | |
