IEEE

Deep Active Transfer Learning for Cross-Domain Fault Diagnosis With Limited Samples

Abstract: In bearing fault diagnosis (BFD), unsupervised domain adaptation (UDA) enables cross-domain few-shot BFD due to its knowledge transfer ability. However, UDA, due to the lack of strong ...
IEEE

Domain Adversarial Active Learning for Domain Generalization Classification

Abstract: Domain generalization (DG) tasks aim to learn cross-domain models from source domains and apply them to unknown target domains. Recent research has demonstrated that diverse and rich source ...