Order Article Reprints

Siejak P, Przybył K, Masewicz Ł, Walkowiak K, Rezler R, Baranowska HM. The Prediction of Pectin Viscosity Using Machine Learning Based on Physical Characteristics—Case Study: Aglupectin HS-MR. Sustainability. 2024; 16(14):5877. https://doi.org/10.3390/su16145877

Siejak, Przemysław, Krzysztof Przybył, Łukasz Masewicz, Katarzyna Walkowiak, Ryszard Rezler, and Hanna Maria Baranowska. 2024. "The Prediction of Pectin Viscosity Using Machine Learning Based on Physical Characteristics—Case Study: Aglupectin HS-MR" Sustainability 16, no. 14: 5877. https://doi.org/10.3390/su16145877

Siejak, P., Przybył, K., Masewicz, Ł., Walkowiak, K., Rezler, R., & Baranowska, H. M. (2024). The Prediction of Pectin Viscosity Using Machine Learning Based on Physical Characteristics—Case Study: Aglupectin HS-MR. Sustainability, 16(14), 5877. https://doi.org/10.3390/su16145877