The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …

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 …

In the present study supercritical fluid extraction parameters for extraction of phytochemicals
from Terminalia chebula (Haritaki) pulp were optimized using different approaches and …

Ultrasound-assisted extraction method (UAE) was applied to recover phytocompounds from
dragon fruit peel and the process was modelled and optimized using the combination of …

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 …

Reports have shown that potentially toxic elements (PTEs) in air, water, and soil systems
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …

Monitoring sediment transport is essential for managing and maintaining rivers. Estimation
of the sediment load in rivers is fundamental for the study of sediment movement, erosion …

To comprehensively evaluate the hazards of microplastics and their coexisting organic
pollutants, the sorption capacity of microplastics is a major issue that is quantified through …

The optimum conditions of extraction time, solid to solvent ratio, and methanol concentration
for extracting total phenolic content (TPC) from mangosteen (Garcinia mangostana L.) hull …

In the last year, interest in using Artificial Neural networks as a modeling tool in food
technology is increasing because they have found extensive utilization in solving many …