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SoftMax Inc convolution 1d filters
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The proposed 1D-CNN model: ( a ) Variant A with three convolutional blocks, ( b ) Variant B with four convolutional blocks.

Journal: Sensors (Basel, Switzerland)

Article Title: EEG-Based Person Identification during Escalating Cognitive Load

doi: 10.3390/s22197154

Figure Lengend Snippet: The proposed 1D-CNN model: ( a ) Variant A with three convolutional blocks, ( b ) Variant B with four convolutional blocks.

Article Snippet: Specific patterns of EEG signals are recognized in the time domain and classified using a 1D Convolutional Neural Network proposed in the MATLAB environment.

Techniques: Variant Assay