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PolyScale-EEG: Advancing BCI Accuracy by ahmed.elsheikh is a document available to read on EtoBox.
What is PolyScale-EEG: Advancing BCI Accuracy about?
The document presents the PolyScale-EEG, a multi-branch deep learning framework designed to enhance brain-computer interface (BCI) performance by addressing the challenge of cross-subject variability in EEG signals. The model achieved significant classification accuracy improvements over existing methods, particularly on large datasets, while also increasing computational time. Future work includes optimizing the model for reduced calibration time and incorporating semi-supervised transfer learning to furth
- Author
- ahmed.elsheikh
- Language
- EN