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Zhenjun Li

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Open access Aug 2026

MFETA-Net: Multi-Branch Frequency Enhancement and Temporal Attention for Small-Sample Rolling Bearing Fault Diagnosis

A frequency-aware time–frequency representation learning framework, named Multi-branch Frequency Enhancement Temporal Attention Network (MFETA-Net), which achieves accuracies of 77.26% and 79.60% under the smallest training setting, indicating its capability to learn discriminative fault representations from limited la...

Chi-Ming Wang, Yiying Zhou, Dongke Zheng et al. · 0 citations
Open access Jul 2026

Motion-Decoupled Dual-Stream Representation Learning for AIS-Based Vessel Trajectory Prediction

The proposed MD-EDTCNFormer framework is a motion-decoupled dual-stream framework for vessel trajectory prediction that dynamically balance global navigation dependencies and local maneuver-aware dynamics under different navigation states, and shows improvements in prediction accuracy and trajectory stability compared...

Chi-Ming Wang, Dongke Zheng, Yiying Zhou et al. · 1 citation

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