Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...

Abstract: A novelty detection task involves identifying whether a data point is an outlier, given a training dataset that primarily captures the distribution of inliers. The novel class is usually ...