Article Versions Notes

Hategan AR, Magdas DA, Puscas R, Dehelean A, Cristea G, Simionescu B. Machine Learning Algorithms in Corroboration with Isotope and Elemental Profile—An Efficient Tool for Honey Geographical Origin Assessment. Applied Sciences. 2022; 12(21):10894. https://doi.org/10.3390/app122110894

Hategan, Ariana Raluca, Dana Alina Magdas, Romulus Puscas, Adriana Dehelean, Gabriela Cristea, and Bianca Simionescu. 2022. "Machine Learning Algorithms in Corroboration with Isotope and Elemental Profile—An Efficient Tool for Honey Geographical Origin Assessment" Applied Sciences 12, no. 21: 10894. https://doi.org/10.3390/app122110894

Hategan, A. R., Magdas, D. A., Puscas, R., Dehelean, A., Cristea, G., & Simionescu, B. (2022). Machine Learning Algorithms in Corroboration with Isotope and Elemental Profile—An Efficient Tool for Honey Geographical Origin Assessment. Applied Sciences, 12(21), 10894. https://doi.org/10.3390/app122110894