CNN-based adversarial machine learning models are proposed to drive the innovation of anomaly detection techniques under Industry 5.0. However, the generalization inherent in the model is inadequate ...

To cope with these challenges, we propose a generic anomaly detection data driven Bi directional Long Short Term Memory (LSTM) AutoEncoder (AE) based approach which is able to consider temporal ...