Semi-supervised quality prediction for label-scarce industrial processes based on dynamic co-regression with multi-scale vision transformer
In industrial process quality prediction, limited labeled samples and noise interference often degrade the application performance of data-driven models. To address these issues, a Dynamic Co-regression Multi-scale Vision Transformer (DCMSViT) semi-supervised model is proposed to improve quality prediction accuracy in...