首页|University of Malaysia Pahang Researchers Provide New Data on Machine Learning ( Addressing Imbalanced EEG Data for Improved Microsleep Detection: An ADASYN, FFT and LDA-Based Approach)
University of Malaysia Pahang Researchers Provide New Data on Machine Learning ( Addressing Imbalanced EEG Data for Improved Microsleep Detection: An ADASYN, FFT and LDA-Based Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting originating from P ekan, Malaysia, by NewsRx correspondents, research stated, “Microsleep, brief la pses in consciousness lasting less than 15 seconds, are often accompanied by fee lings of fatigue and are detectable through a deceleration in electroencephalogr am (EEG) signal frequencies. Accurate identification of microsleep is critical for assessing driver alertness and preventing accidents.”
University of Malaysia PahangPekanMa laysiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
