Philippidis, A.; Poulakis, E.; Kontzedaki, R.; Orfanakis, E.; Symianaki, A.; Zoumi, A.; Velegrakis, M.
Application of Ultraviolet-Visible Absorption Spectroscopy with Machine Learning Techniques for the Classification of Cretan Wines. Foods 2021, 10, 9.
https://doi.org/10.3390/foods10010009
AMA Style
Philippidis A, Poulakis E, Kontzedaki R, Orfanakis E, Symianaki A, Zoumi A, Velegrakis M.
Application of Ultraviolet-Visible Absorption Spectroscopy with Machine Learning Techniques for the Classification of Cretan Wines. Foods. 2021; 10(1):9.
https://doi.org/10.3390/foods10010009
Chicago/Turabian Style
Philippidis, Aggelos, Emmanouil Poulakis, Renate Kontzedaki, Emmanouil Orfanakis, Aikaterini Symianaki, Aikaterini Zoumi, and Michalis Velegrakis.
2021. "Application of Ultraviolet-Visible Absorption Spectroscopy with Machine Learning Techniques for the Classification of Cretan Wines" Foods 10, no. 1: 9.
https://doi.org/10.3390/foods10010009
APA Style
Philippidis, A., Poulakis, E., Kontzedaki, R., Orfanakis, E., Symianaki, A., Zoumi, A., & Velegrakis, M.
(2021). Application of Ultraviolet-Visible Absorption Spectroscopy with Machine Learning Techniques for the Classification of Cretan Wines. Foods, 10(1), 9.
https://doi.org/10.3390/foods10010009