Enhancing accuracy of mental fatigue classification using advanced computational intelligence in an electroencephalography system
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6923026/6943513/06943846.pdf?arnumber=6943846
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey;Technologies;2024-03-11
2. Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG);Journal of Neural Engineering;2024-02-01
3. A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms;Ain Shams Engineering Journal;2023-04
4. EEG driving fatigue detection based on log-Mel spectrogram and convolutional recurrent neural networks;Frontiers in Neuroscience;2023-03-09
5. Intracortical Hindlimb Brain–Computer Interface Systems: A Systematic Review;IEEE Access;2023
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