Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …

Forecasting carbon price accurately is of great significance to ensure the healthy
development of the carbon market. However, due to the non-linearity, non-stationarity, and …

Adsorptive removal of toxic compounds using advanced porous materials is one of the most
attractive approaches. In recent years, the metal-organic frameworks (MOFs), a subset of …

Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …

Peleg model was used to determine the instance moisture content of three varieties of bean
(Talash, Sadri and Mahali Khomein) and three varieties of chickpea (Desi, small Kabuli and …

Since neural networks have universal approximation capabilities, therefore it is possible to
postulate them as solutions for given differential equations that define unsupervised errors …

Prediction of sludge bulking is a matter of growing importance around the world. Sludge
volume index (SVI) should be monitored to predict sludge bulking for a wastewater treatment …

The objectives of this study were to use image analysis and artificial neural network to
predict mass transfer kinetics and color changes of osmotically dehydrated kiwifruit slices …

Drying the samples was performed in the inlet temperatures of 45, 50, and 55° C, air velocity
of 3.2, 6.8, and 9.1 ms− 1, and bed depth of 1.5, 2.2, and 3 cm. The effects of these …