Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal

Research article (Egyptian Informatics Journal, 2019) · cited 172× · AI/ML
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Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal

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Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/employing-pca-and-t-statistical-approach-for-feature-extraction-and-classification-of-emotion-from-multichannel-eeg-sign
MLA “Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/employing-pca-and-t-statistical-approach-for-feature-extraction-and-classification-of-emotion-from-multichannel-eeg-sign.
BibTeX @misc{4ortxyz_employing-pca-and-t-statistical-approach-for-feature-extraction-and-classification-of-emotion-from-multichannel-eeg-sign_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal}}, year = {2026}, url = {https://4ort.xyz/entity/employing-pca-and-t-statistical-approach-for-feature-extraction-and-classification-of-emotion-from-multichannel-eeg-sign}, note = {Accessed: 2026-05-24}}
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