The reliance on optimization techniques for robust assessments of environmental and
energy-saving solutions has been largely driven by the increasing need to comply with …

The presence of magnetic field results in a reduction in natural convective heat transfer and
entropy generation in cavities. The use of nanofluids improves the performance of thermal …

In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …

Environmental air pollutants pose a serious threat to human society's health and way of life,
and their amount is rising quickly. Given that we spend the majority of our time indoors, good …

Overuse of energy resources (especially in residential building) has been one of the most
important issues in recent decades. Researchers have often focused on the use of PCM …

For conducting an analysis of the experimental data, it is imperative to establish a
mathematical correlation between the input and output variables. This entails executing a …

Opaque surfaces, such as walls, are well-known for their significant contributions to heat
loss and energy demands in buildings. However, transparent surfaces, such as windows …

Having a suitable maneuverability is of a high importance in the design of submarines. They
should have a proper stability during depth changes and emergency rise which requires …

This study predicts the parameters such as viscosity and thermal conductivity in silica-
alumina-MWCN/water nanofluid using the artificial intelligence method and using design …

The prediction of classroom PM 2.5 concentration has practical importance for the
management of classroom environment. Most of the existing researches focus on the …