Supervised models (especially GAT and Multiscale CNN) outperform unsupervised detectors on ESA-ADB telemetry, yet unsupervised methods deliver competitive precision at far lower compute cost.
Heart rate anomaly detection in healthcare using elliptic envelope and local forest,
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Toward Deployable Satellite Anomaly Detection: A Benchmark Study on Large-Scale ESA-ADB Telemetry
Supervised models (especially GAT and Multiscale CNN) outperform unsupervised detectors on ESA-ADB telemetry, yet unsupervised methods deliver competitive precision at far lower compute cost.