Machine learning modeling for predicting growth dynamics of Listeria monocytogenes using ComBase database: A comprehensive feature engineering approach

Leave a Comment / Procesos Alimentarios / By
Bookmark (0)
Please login to bookmark Close

Publication date: 30 April 2026

Source: Food Research International, Volume 230

Author(s): Ziwen Zhou, Haoxin An, Zhao Li, Yangtai Liu, Qingli Dong

Publication date: 30 April 2026Source: Food Research International, Volume 230Author(s): Ziwen Zhou, Haoxin An, Zhao Li, Yangtai Liu, Qingli Dong Read More

Related posts:

Default ThumbnailKnowledge graph and large language model synergy for food safety: Approaches and perspectives Default ThumbnailPlasmid-mediated modulation of Listeria monocytogenes biofilm formation via TCS/PTS signaling: Implications for food contamination control Default ThumbnailEffects of different processing (Paozhi) methods on the structural characteristics and bidirectional immunomodulatory activities of Astragalus polysaccharides Default ThumbnailDynamic flavor changes and metabolite profiles of rose petals during black tea processing Default ThumbnailStudy on rheological behavior of stirred yoghurt for dysphagia patients Default ThumbnailEffects of simulated food processing stresses on antibiotic resistance in Salmonella Typhimurium