Cite
Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise.
MLA
Perrot, N.Mejean, et al. “Predicting Odor Profile of Food from Its Chemical Composition: Towards an Approach Based on Artificial Intelligence and Flavorists Expertise.” Mathematical Biosciences and Engineering : MBE, vol. 20, no. 12, Nov. 2023, pp. 20528–52. EBSCOhost, https://doi.org/10.3934/mbe.2023908.
APA
Perrot, N. M., Roche, A., Tonda, A., Lutton, E., & Thomas-Danguin, T. (2023). Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise. Mathematical Biosciences and Engineering : MBE, 20(12), 20528–20552. https://doi.org/10.3934/mbe.2023908
Chicago
Perrot, N Mejean, Alice Roche, Alberto Tonda, Evelyne Lutton, and Thierry Thomas-Danguin. 2023. “Predicting Odor Profile of Food from Its Chemical Composition: Towards an Approach Based on Artificial Intelligence and Flavorists Expertise.” Mathematical Biosciences and Engineering : MBE 20 (12): 20528–52. doi:10.3934/mbe.2023908.