APA (7th ed.) Citation

Han, L., Jiang, X., Zhou, S., Tian, J., Hu, X., Huang, D., & Luo, H. (2024). Hyperspectral Imaging Technology Combined with the Extreme Gradient Boosting Algorithm (XGBoost) for the Rapid Analysis of the Moisture and Acidity Contents in Fermented Grains. Journal of the American Society of Brewing Chemists, 82(3), 281-293. https://doi.org/10.1080/03610470.2023.2253705

Chicago Style (17th ed.) Citation

Han, Lipeng, Xinna Jiang, Shuyu Zhou, Jianping Tian, Xinjun Hu, Dan Huang, and Huibo Luo. "Hyperspectral Imaging Technology Combined with the Extreme Gradient Boosting Algorithm (XGBoost) for the Rapid Analysis of the Moisture and Acidity Contents in Fermented Grains." Journal of the American Society of Brewing Chemists 82, no. 3 (2024): 281-293. https://doi.org/10.1080/03610470.2023.2253705.

MLA (9th ed.) Citation

Han, Lipeng, et al. "Hyperspectral Imaging Technology Combined with the Extreme Gradient Boosting Algorithm (XGBoost) for the Rapid Analysis of the Moisture and Acidity Contents in Fermented Grains." Journal of the American Society of Brewing Chemists, vol. 82, no. 3, 2024, pp. 281-293, https://doi.org/10.1080/03610470.2023.2253705.