HIGHLIGHTS
- who: Anomaly Detection and collaborators from the School of Computer Science, Ariel University, Israel have published the Article: A Stethoscope for Drones: Transformers Based Methods for UAVs Acoustic Anomaly Detection, in the Journal: (JOURNAL)
- what: The authors propose a real-time framework to detect anomalies in drones by analyzing the sound emitted from them. The approach is examined over a dataset that is collected from a single microphone set located on a micro drone in real-time. The authors propose an improvement by using a Transformer to weigh parts of the input differently to accentuate . . .
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