Gao, Y., Si, J., Wu, S., Li, W., Liu, H., Chen, J., . . . Zhang, Y. (2021). Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM. Applied sciences, 11(23), 11453. https://doi.org/10.3390/app112311453
Chicago Style (17th ed.) CitationGao, Yuhang, Juanning Si, Sijin Wu, Weixian Li, Hao Liu, Jianhu Chen, Qing He, and Yujin Zhang. "Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM." Applied Sciences 11, no. 23 (2021): 11453. https://doi.org/10.3390/app112311453.
MLA (9th ed.) CitationGao, Yuhang, et al. "Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM." Applied Sciences, vol. 11, no. 23, 2021, p. 11453, https://doi.org/10.3390/app112311453.