Abstract: Deep learning (DL) models for bearing fault diagnosis often struggle to preserve discriminative features under variable operating conditions and are unable to effectively capture multiscale ...
Abstract: The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network (GNN) models and suggests aggregations ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results