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Applied and Environmental Microbiology|December 13, 2016
Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated EnvironmentKento Koyama, Hidekazu Hokunan, Mayumi Hasegawa, et al.Journal of Food Protection|October 17, 2024
Machine Learning Prediction of Leuconostoc spp. Growth Inducing Spoilage in Cooked Deli Foods Considering the Effect of Glycine and Sodium AcetateMayumi Kataoka, Hiroshi Ono, Junko Shinozaki, et al.Plos One|March 19, 2021
Predicting sensory evaluation of spinach freshness using machine learning model and digital imagesKento Koyama, Marin Tanaka, Byeong-Hyo Cho, et al.Food Chemistry|July 24, 2023
Non-destructive quality classification of rice taste properties based on near-infrared spectroscopy and machine learning algorithmsEdenio Olivares Díaz, Haruka Iino, Kento Koyama, et al.Journal of Agricultural and Food Chemistry|July 4, 2024
Isolation and Identification of the Antibacterial Compounds Produced by Maillard Reaction of Xylose with Phenylalanine or ProlineKazuho Aonishi, Shungo Miyao, Lisa Yokoi, et al.Pageof 4