Abstract: Dynamic models of bearings have been widely recognized as an effective approach to synthesizing diverse bearing fault samples for data-driven intelligent diagnosis. To tackle the key ...
Abstract: Despite advancements using graph neural networks (GNNs) to capture complex user-item interactions, challenges persist due to data sparsity and noise. To address these, self-supervised ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results