Improper grain drying can compromise grain quality, posing a threat to global food security,
given grains' significant contribution to food supplies. However, grain drying practices vary …

Machine learning (ML) methods has recently contributed very well in the advancement of the
prediction models used for energy consumption. Such models highly improve the accuracy …

A novel laboratory scale apparatus using infrared lamps replacing the electric heating plate
for the freeze drying of Cordyceps militaris was developed in this study. The drying time …

High energy consumption and low thermal efficiency are the main problems associated with
convection hot air dryers. The effect of various energy sources on tomato drying in a …

This study aimed to evaluate the experiment of drying grapes that applied three different
airflow patterns: vertical and two horizontal (HMP-1 and HMP-2) inside convective hot air …

The present study involved integration of artificial neural network (ANN) with genetic
algorithm (GA) for predicting the optimized process parameters required for fluidized bed …

This study aims to examine the energy-related aspects of a hybrid convection-radiation
drying technique employed in the drying process of garlic slices. Several factors, including …

BACKGROUND Five computational intelligence approaches, namely Gaussian process
regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees …

In the study, drying process of quince fruit was accomplished in a microwave‐convective
dryer (MCD). The experiments were carried out at microwave power levels of 100, 200, and …

Drying processes are among the most energy-intensive industrial processes. There is a
need for development of the efficient methods needed for estimating, measuring, and …