The paper proposes a PCA-triggered autoencoder cascade for correlated sensor anomaly detection and reports near-autoencoder F1 at roughly one third less runtime.
”Pearson’s correlation coeffi- cient”
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.