1 citations · 1 across the 10 of their papers we have counts for
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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…
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,…
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing
Chathurangi Shyalika, Ruwan Wickramarachchi, Fadi El Kalach +2
Rare events are occurrences that take place with a significantly lower frequency than more common regular events. In manufacturing, predicting such events is particularly important…