Object detection in remote sensing scenarios faces multiple challenges, primarily manifested in multi-scale objects, class imbalance, densely packed small targets, and occlusion. To address these issues, we propose DCA-Net, an object detection method based on deep context aggregation. Built upon the YOLO architecture,...
Rolling element bearings are critical components in rotating machinery, yet assessing and predicting their reliability under heavy industrial noise remains challenging. Existing methods suffer from three major limitations: (1) single-channel signal processing and single-scale indicators lack robustness against non-stat...
Yifan Yu, Shu-Xi Chen, Li-Ting Lei et al.· Journal of Manufacturing and...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.