Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...

Abstract: AffectiveFusionNet showcases a new era in multimodal emotion recognition, ingeniously integrating the strengths of Visual Transformers (ViTs) and Variational Autoencoders (VAEs) with the ...