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