Application of machine learning (ML)-based algorithms in food drying is an exciting and innovative approach to advance the drying technology. In order to appropriately develop this …
The main purpose of this study was to develop and apply an adaptive neuro-fuzzy inference system (ANFIS) and Artificial Neural Networks (ANNs) model for predicting the drying …
Today, global warming as a consequence of consuming fossil fuels has become a global concern. Fossil fuels used in power plants to generate power have the highest contribution …
In this study, different drying conditions were investigated on quality and thermodynamic properties of almond kernel. Experiments were performed using a convection dryer with …
I Mohammadi, R Tabatabaekoloor, A Motevali - Energy, 2019 - Elsevier
The simultaneous transfer of mass and heat in the drying process has turned it into a complicated process with respect to mass transfer and moisture removal. A hot-air dryer …
In this study, the drying kinetics of walnuts was investigated including specific energy consumption (SEC), shrinkage, and walnut kernels' color in two dryers, namely ultrasonic …
D Donno, MG Mellano, I Riondato, M De Biaggi… - Antioxidants, 2019 - mdpi.com
Dried fruits are important, healthy and popular snacks, despite the limited information on their nutritional profiles and phytochemical composition. The present work was aimed to …
The thin-layer convective-infrared drying behavior of white mulberry was experimentally studied at infrared power levels of 500, 1000 and 1500 W, drying air temperatures of 40, 55 …
K Li, M Zhang, AS Mujumdar, B Chitrakar - Drying Technology, 2019 - Taylor & Francis
Modern physical field technologies mainly include microwave, radio frequency, infrared radiation, ultrasound, pulsed electric field, and so on. Nowadays, the application of physical …