IEEE

A Parallel Dual-Branch Deep Learning Framework Integrating VMD Feature Engineering and Multiscale Temporal Feature Fusion for Small-Sample Fault Diagnosis

Abstract: Rolling bearings are crucial in mechanical systems, where failures pose safety risks and economic losses. However, their rarity makes timely fault detection and data collection challenging.
IEEE

Detection of Small Targets in Sea Clutter Based on Transformer Recurrence Plots CNN in the Case of Imbalanced Samples

Abstract: Detecting small targets in sea clutter is challenging due to scarce weak target echoes being overwhelmed by abundance strong sea clutter, leading to imbalanced classification. To address ...