Sharma, R., Kim, M., & Gupta, A. (2022). Motor imagery classification in brain-machine interface with machine learning algorithms: Classical approach to multi-layer perceptron model. Biomedical signal processing and control, 71, 103101. https://doi.org/10.1016/j.bspc.2021.103101
Chicago Style (17th ed.) CitationSharma, Rahul, Minju Kim, and Akansha Gupta. "Motor Imagery Classification in Brain-machine Interface with Machine Learning Algorithms: Classical Approach to Multi-layer Perceptron Model." Biomedical Signal Processing and Control 71 (2022): 103101. https://doi.org/10.1016/j.bspc.2021.103101.
MLA (9th ed.) CitationSharma, Rahul, et al. "Motor Imagery Classification in Brain-machine Interface with Machine Learning Algorithms: Classical Approach to Multi-layer Perceptron Model." Biomedical Signal Processing and Control, vol. 71, 2022, p. 103101, https://doi.org/10.1016/j.bspc.2021.103101.