A dual-branch multidimensional attention fusion network for EEG-based fatigue classification
A lightweight Dual-Branch Multidimensional Attention Fusion Network (DB-MDAFNet) that integrates spectral-temporal features and PCC-derived inter-channel dependency representations for EEG-based fatigue classification provides a lightweight and interpretable architecture for EEG-based fatigue monitoring.