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May, 2023
失衡航空器数据异常检测
Imbalanced Aircraft Data Anomaly Detection
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Hao Yang, Junyu Gao, Yuan Yuan, Xuelong Li
TL;DR
提出了一种基于图形化时间数据分析(GTDA)框架的异常检测方法,该方法包括 S2I、CRD 和 VBL 三个模块,通过对飞行数据集的实验验证,说明该方法可以有效提高精度和召回率。
Abstract
anomaly detection
in temporal data from sensors under
aviation scenarios
is a practical but challenging task: 1) long temporal data is difficult to extract contextual information with temporal correlation; 2) the
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