K. P.

X-TSAD: An Explainable Framework for Robust Multivariate Time-Series Anomaly Detection using SHAP and Attention Mechanisms

Anomaly detection plays a vital role in industrial systems to improve the quality of product, reducing engine downtime and maintain efficiency. As industries produce huge amount of timeseries data through various sensors. Traditional deep learning and machine learning models can accurately predict the anomalies, howeve...