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 ...

The dollar strengthened as above-forecast June payrolls data supported expectations for the Federal Reserve to stay on hold.

Early time series classification is of great significance for time-sensitive applications such as fault detection and earthquake prediction. This task aims to classify time series with the least ...