Roy, A. M. (2022). An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces. Biomedical signal processing and control, 74, 103496. https://doi.org/10.1016/j.bspc.2022.103496
Chicago Style (17th ed.) CitationRoy, Arunabha M. "An Efficient Multi-scale CNN Model with Intrinsic Feature Integration for Motor Imagery EEG Subject Classification in Brain-machine Interfaces." Biomedical Signal Processing and Control 74 (2022): 103496. https://doi.org/10.1016/j.bspc.2022.103496.
MLA (9th ed.) CitationRoy, Arunabha M. "An Efficient Multi-scale CNN Model with Intrinsic Feature Integration for Motor Imagery EEG Subject Classification in Brain-machine Interfaces." Biomedical Signal Processing and Control, vol. 74, 2022, p. 103496, https://doi.org/10.1016/j.bspc.2022.103496.