Performance evaluation in terms of the confusion matrix. حسب Jamila Akhter (21144252)

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Subject-wise F-1 scores by using CNN, LSTM, Bi-LSTM, proposed stack, and fft methods for the classification of a 2-class hand-gripping HBO-fNIRS data. حسب Jamila Akhter (21144252)

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Training and testing loss history of the proposed stack and proposed fft methods is compared with the conventional DL models. حسب Jamila Akhter (21144252)

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Average classification accuracies for fft and stack methods, LSTM, Bi-LSTM, and CNN algorithms. حسب Jamila Akhter (21144252)

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Optode placement following 10–20 international system. حسب Jamila Akhter (21144252)

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Filtered data from Channel 1 of Subject 1, showing HbO, HbR, and HBT concentration changes. حسب Jamila Akhter (21144252)

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Training and testing accuracy of the proposed stack and proposed fft methods are compared with conventional DL models. حسب Jamila Akhter (21144252)

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Experimental paradigm. حسب Jamila Akhter (21144252)

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Illustration of a typical BCI system. حسب Jamila Akhter (21144252)

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Subject-wise classification accuracies by using CNN, LSTM, Bi-LSTM, proposed stack, and fft methods for the classification of a 2-class hand-gripping HBO-fNIRS data. حسب Jamila Akhter (21144252)

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Schematic representation: In the proposed stack method extracted features are used to train the proposed stacked model. حسب Jamila Akhter (21144252)

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Statistical significance of the proposed method. حسب Jamila Akhter (21144252)

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