Order Article Reprints

Gao Y, Si J, Wu S, Li W, Liu H, Chen J, He Q, Zhang Y. Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM. Applied Sciences. 2021; 11(23):11453. https://doi.org/10.3390/app112311453

Gao, Yuhang, Juanning Si, Sijin Wu, Weixian Li, Hao Liu, Jianhu Chen, Qing He, and Yujin Zhang. 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, no. 23: 11453. https://doi.org/10.3390/app112311453

Gao, Y., Si, J., Wu, S., Li, W., Liu, H., Chen, J., He, Q., & 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