Brain visual image signal classification via hybrid dilation residual shrinkage network with spatio-temporal feature fusion
Brain–computer interface (BCI) technology based on electroencephalogram (EEG) has attracted widespread attention, among which interpretation, pattern recognition, and classification of brain activity through EEG are promising researches. However, EEG-based object classification is still confronted w...
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Veröffentlicht in: | Signal, image and video processing image and video processing, 2023-04, Vol.17 (3), p.743-751 |
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