Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Abstract: The removal of artifacts is essential for improving the quality and reliability of electroencephalogram (EEG) data in academic research. Traditional methods, such as mix source separation ...
Abstract: The run-to-failure monitoring data of bearings can be utilized for modeling and analysis to predict their remaining useful life (RUL). Such data typically contain degradation features across ...