APA (7th ed.) Citation

Wang, T., Li, F., Yang, J., Jia, W., & Hu, F. (2025). PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification. Cognitive robotics, 5, 211-225. https://doi.org/10.1016/j.cogr.2025.05.002

Chicago Style (17th ed.) Citation

Wang, Teng, Fenglian Li, Jia Yang, Wenhui Jia, and Fengyun Hu. "PCCNN: A CNN Classification Model Integrating EEG Time-frequency Features for Stroke Classification." Cognitive Robotics 5 (2025): 211-225. https://doi.org/10.1016/j.cogr.2025.05.002.

MLA (9th ed.) Citation

Wang, Teng, et al. "PCCNN: A CNN Classification Model Integrating EEG Time-frequency Features for Stroke Classification." Cognitive Robotics, vol. 5, 2025, pp. 211-225, https://doi.org/10.1016/j.cogr.2025.05.002.