2 papers
cs.LG2024
ABCD: Trust enhanced Attention based Convolutional Autoencoder for Risk Assessment
Sarala Naidu, Ning Xiong
Anomaly detection in industrial systems is crucial for preventing equipment failures, ensuring risk identification, and maintaining overall system efficiency. Traditional monitorin…
cs.LG2024
S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries
Sarala Naidu, Ning Xiong
Anomaly detection plays a crucial role in industrial settings, particularly in maintaining the reliability and optimal performance of cooling systems. Traditional anomaly detection…