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cs.LG2026
Correcting Sensor-Induced Distribution Drift with Wasserstein Adversarial Learning
Saraa Ali, Vladimir Bocharnikov, Fedor Ratnikov +3
The quality of recorded data depends on the stability of the sensor system that acquires it. Sensor motion and aging can degrade the performance and stability of downstream data-dr…
cs.LG2025★ 2 cited
Learning to Hear Broken Motors: Signature-Guided Data Augmentation for Induction-Motor Diagnostics
Saraa Ali, Aleksandr Khizhik, Stepan Svirin +2
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accura…