Minimum Adversarial Distribution Discrepancy for Domain Adaptation
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DOI: 10.1109/tcds.2021.3104231
Abstract: Domain adaptation (DA) refers to generalize a learning technique across the source domain and target domain under different distributions. Therefore, the essential problem in DA is how to reduce the distribution discrepancy between the source… read more here.
Keywords: domain adaptation; distribution discrepancy; discrepancy; distribution ... See more keywords
Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229274
Abstract: The fault diagnosis during drilling is necessary to prevent the accidents develop to more serious status. Data-driven diagnosis methods have great advantages in nonlinear industrial process, however, the problem of limited samples restricts its further… read more here.
Keywords: fault diagnosis; diagnosis; distribution discrepancy; limited samples ... See more keywords