Li, H., Lu, Z., Mo, Y., Feng, B., & Yu, T. (2025). A two-stage feature redundancy minimization methodology framework for motor imagery EEG classification. Multimedia Tools & Applications, 84(28), 33863. https://doi.org/10.1007/s11042-025-20605-8
Chicago Style (17th ed.) CitationLi, Heng, Zhongwei Lu, Yun Mo, Bao Feng, and Tianyou Yu. "A Two-stage Feature Redundancy Minimization Methodology Framework for Motor Imagery EEG Classification." Multimedia Tools & Applications 84, no. 28 (2025): 33863. https://doi.org/10.1007/s11042-025-20605-8.
MLA (9th ed.) CitationLi, Heng, et al. "A Two-stage Feature Redundancy Minimization Methodology Framework for Motor Imagery EEG Classification." Multimedia Tools & Applications, vol. 84, no. 28, 2025, p. 33863, https://doi.org/10.1007/s11042-025-20605-8.