Young Myoung Ko

Timeseries Foundation Model for Anomaly Detection in Manufacturing Sensor Data

A time-series foundation model specifically designed for anomaly detection in large-scale industrial datasets is proposed, incorporating both reconstruction error and embedding vector-based anomaly scores, leveraging the effectiveness of embedding-based anomaly detection in simple time-series data.