The paper proposes a PCA-triggered autoencoder cascade for correlated sensor anomaly detection and reports near-autoencoder F1 at roughly one third less runtime.
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Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach
The paper proposes a PCA-triggered autoencoder cascade for correlated sensor anomaly detection and reports near-autoencoder F1 at roughly one third less runtime.