This study explores time series data augmentation techniques to enhance the classification accuracy of deep learning models for conveyor belt tension signals. The study examines conveyor belt load ...

In this paper, inspired by the creative mechanisms of human imagination, which concretely supplement the target model from ambiguous descriptions built upon human experiential knowledge, we propose a ...