Our paper, “Uncertainty-aware constrained optimization for air convective drying of thin apple slices using machine-learning-based response surface methodology,” has been published in the Journal of Food Engineering. This study introduces a Monte Carlo simulation approach to quantify inherent uncertainties in sample characteristics during food drying. By integrating machine-learning-based response surface modeling within a constrained optimization Continue Reading »
Paper on uncertainty-aware constrained optimization for air convective drying of thin apple slices using machine-learning-based response surface methodology
