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cs.LG2024★ 1 cited
Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
Chathurangi Shyalika, Harleen Kaur Bagga, Ahan Bhatt +3
Time series foundational models (TSFM) have gained prominence in time series forecasting, promising state-of-the-art performance across various applications. However, their applica…
cs.CV2024
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
Renjith Prasad, Chathurangi Shyalika, Ramtin Zand +4
Anomaly detection in manufacturing pipelines remains a critical challenge, intensified by the complexity and variability of industrial environments. This paper introduces AssemAI,…