APA (7th ed.) Citation
He, L., Zhang, L., Lin, X., & Qin, Y. (2024). A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals. Medical & Biological Engineering & Computing, 62(6), 1781-1794.
Chicago Style (17th ed.) Citation
He, Le, Li Zhang, Xiangtian Lin, and Yunfeng Qin. "A Novel Deep-learning Model Based on τ-shaped Convolutional Network (τNet) with Long Short-term Memory (LSTM) for Physiological Fatigue Detection from EEG and EOG Signals." Medical & Biological Engineering & Computing 62, no. 6 (2024): 1781-1794.
MLA (9th ed.) Citation
He, Le, et al. "A Novel Deep-learning Model Based on τ-shaped Convolutional Network (τNet) with Long Short-term Memory (LSTM) for Physiological Fatigue Detection from EEG and EOG Signals." Medical & Biological Engineering & Computing, vol. 62, no. 6, 2024, pp. 1781-1794.
Warning: These citations may not always be 100% accurate.