Over the past two decades, the feedforward neural network (FNN) optimization has been a
key interest among the researchers and practitioners of multiple disciplines. The FNN …

Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …

Predictive microbiology provides a powerful tool to aid the exposure assessment phase of
'quantitative microbial risk assessment'. Using predictive models changes in microbial …

The aim of this study was to evaluate the suitability of several mathematical functions for
describing microbial growth curves. The nonlinear functions used were: three-phase linear …

Predictive microbiology in foods is a research area within food microbiology intended to
provide mathematical models to predict microbial behavior in food environments. Although …

The effects of temperature, pH and sugar concentration (50% glucose+ 50% fructose) on the
growth parameters of Saccharomyces cerevisiae T73, S. kudriavzevii IFO 1802T and the …

Salmonella can survive in low-moisture foods for long periods of time. Reduced microbial
inactivation during heating is believed to be due to the interaction of cells and water, and is …

Electronic nose (e-nose) systems have been reported to be used in many areas as rapid,
low-cost, and non-invasive instruments. Especially in meat production and processing, e …

The degradation kinetics of total anthocyanins in blueberry (Vaccinium myrtillus) juice were
studied during thermal processing by treatment at selected temperatures (60− 121° C) and …

Aims: To evaluate and model the simultaneous growth of Listeria monocytogenes and
spoilage micro‐organisms in cold‐smoked salmon. Methods and Results: Growth kinetics of …