4 papers
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Bearing is a key component in industrial machinery and its failure may lead to unwanted downtime and economic loss. Hence, it is necessary to predict the remaining useful life (RUL…
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Sungho Suh, Sojeong Cheon, Wonseo Choi +6
Deep neural networks (DNNs) have been widely used for medical image analysis. However, the lack of access a to large-scale annotated dataset poses a great challenge, especially in…
Discriminative feature generation for classification of imbalanced data
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The data imbalance problem is a frequent bottleneck in the classification performance of neural networks. In this paper, we propose a novel supervised discriminative feature genera…
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The demands of automated shipping address recognition and verification have increased to handle a large number of packages and to save costs associated with misdelivery. A previous…