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STE-RS: A novel framework for robust anomaly detection in UAV flight data

Anomaly detection in flight data has become crucial for ensuring the safety and reliability of unmanned aerial vehicles (UAVs), particularly with the expanding UAVs application scenarios and increasing mission complexity. However, many existing anomaly detection methods frequently overlook inherent...

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Hlavní autoři: Chen Feng, Jun Fan, Guang Jin, Jintao Liu, Siya Chen
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-09-01
Edice:Results in Engineering
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On-line přístup:http://www.sciencedirect.com/science/article/pii/S2590123025028658
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