Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning-Reference-Cited by-同舟云学术

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Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learning

Published:2022-01 Issue: Volume:192 Page:106366
ISSN:0167-7012
Container-title:Journal of Microbiological Methods
language:en
Short-container-title:Journal of Microbiological Methods

Author:

Koyama Kento,Kubo Kyosuke,Hiura Satoko,Koseki Shige

Funder

Japan Society for the Promotion of Science

JSPS

Publisher

Elsevier BV

Subject

Microbiology (medical),Molecular Biology,Microbiology

Reference55 articles.

1. Predictive modeling of survival/death of Listeria monocytogenes in liquid media: bacterial responses to cinnamon essential oil, ZnO nanoparticles, and strain;Abdollahzadeh;Food Control,2017

2. Wavelet neural networks for modelling high pressure inactivation kinetics of Listeria monocytogenes in UHT whole milk;Amina;Chemom. Intell. Lab. Syst.,2010

3. Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks;Amina;Expert Syst. Appl.,2012

4. Predicting the decision making chemicals used for bacterial growth;Ashino;Sci. Rep.,2019

5. Individual cell heterogeneity as variability source in population dynamics of microbial inactivation;Aspridou;Food Microbiol.,2015

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