Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs
Author:
Affiliation:
1. Silesian University of Technology, Gliwice, Poland
2. KP Labs, Gliwice, Poland
Funder
Polish National Centre for Research and Development
Silesian University of Technology
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449726.3459411
Reference3 articles.
1. Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
2. Anomaly Detection and Identification in Satellite Telemetry Data Based on Pseudo-Period
3. Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
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