Water pollution occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …

Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …

As applications of deep eutectic solvents are growing fast as green alternatives, prediction of
physical properties data for such systems becomes a necessity for engineering application …

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 …

Optimum operating conditions of a fuel cell will provide its maximum efficiency and the
operating cost will be minimized. Thus, operation optimization of the fuel cell is essential …

One of the most challenging tasks in project management is estimating the duration of a
project. The unknowns that accompany projects, the different risks, the uniqueness of each …

Solar air heater (SAH) is a most commonly used solar energy utilization system, which
collects solar radiation on absorber plate and transmits absorbed thermal energy to the …

In this study, the equilibrium adsorption isotherms of N 2, CH 4 and CO 2 on two types of
activated carbon adsorbents were measured. The experimental data of the equilibrium …

Elimination of carbon dioxide from gas mixtures is a common commercial step in natural gas
refineries. Nowadays, room-temperature ionic liquids, which are a relatively novel type of …