Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Using neural networks to build a reliable fault detection model is an attractive topic in industrial processes but remains challenging due to the lack of labeled data. We propose a feature learning ...

Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and financial ...