Roxas II, R., Evangelista, M. A., Sombillo, J. A., Nnabuife, S. G., & Pilario, K. E. (2022). Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination. Digital Chemical Engineering, 3, 100024. https://doi.org/10.1016/j.dche.2022.100024
Chicago-Zitierstil (17. Ausg.)Roxas II, Ricardo, Matthew Angelo Evangelista, Jalen Aeron Sombillo, Somtochukwu Godfrey Nnabuife, und Karl Ezra Pilario. "Machine Learning Based Flow Regime Identification Using Ultrasonic Doppler Data and Feature Relevance Determination." Digital Chemical Engineering 3 (2022): 100024. https://doi.org/10.1016/j.dche.2022.100024.
MLA-Zitierstil (9. Ausg.)Roxas II, Ricardo, et al. "Machine Learning Based Flow Regime Identification Using Ultrasonic Doppler Data and Feature Relevance Determination." Digital Chemical Engineering, vol. 3, 2022, p. 100024, https://doi.org/10.1016/j.dche.2022.100024.