An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording

Research article (2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016) · cited 17× · AI/ML
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An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording

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An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-k-nn-approach-for-automatic-drowsiness-detection-using-single-channel-eeg-recording
MLA “An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-k-nn-approach-for-automatic-drowsiness-detection-using-single-channel-eeg-recording.
BibTeX @misc{4ortxyz_an-efficient-k-nn-approach-for-automatic-drowsiness-detection-using-single-channel-eeg-recording_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient K-NN approach for automatic drowsiness detection using single-channel EEG recording}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-k-nn-approach-for-automatic-drowsiness-detection-using-single-channel-eeg-recording}, note = {Accessed: 2026-05-24}}
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