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Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data
ISSN: 0018-9456, 1557-9662Published: New York IEEE 2024Published in IEEE transactions on instrumentation and measurement (2024)“… Specifically, we designed a new robust spatial-temporal autoencoder (RSTAE) model based on the temporal convolution network (TCN…”
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