The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …

Climate change and global warming are among of the most important environmental issues
and require adequate and immediate global action to preserve the planet for future …

Ionic liquids (ILs) are highly promising for industrial applications such as design and
development of gas sweetening processes. For a safe and economical design, prediction of …

In this work, adsorption and reduction of CO 2 by carbon molecular sieves (CMS) was
modeled using response surface methodology (RSM) and artificial neuron networks (ANNs) …

The prediction of seed yield is one of the most important breeding objectives in agricultural
research. So, in this study, two methods namely artificial neural network (ANN) and multiple …

This study aims to study the solubility of acid gas, ie, hydrogen sulfide (H2S) in different
solvents. Three intelligent approaches, including Multilayer Perceptron (MLP), Gaussian …

In this study, experimental CO 2 solubility in aqueous sodium salt of l-phenylalanine (Na-
Phe) was investigated at concentrations (w= 0.10, 0.20, and 0.25) mass fractions. The …

In the present study, the potential use of a model based on an artificial neural network (ANN)
was investigated to predict the solubility of acid gases (H 2 S and CO 2) in 32 commonly …

Abstract An integration of Artificial Neural Networks (ANNs) and thermodynamics through
the application of Neural Network Programming (NNP) is proposed. Thermodynamic …

Nanofluids have recently been engaged in absorption-based processes to capture carbon
dioxide (CO 2) molecules. Pressure, temperature, nanoparticles type and dosage in host …