Polyurethane (PU) possesses excellent thermal properties, making it an ideal material for
thermal insulation. Incorporating Phase Change Materials (PCMs) capsules into …

The temperature field during laser welding process plays an important role on determining
the quality and quantity of the weld bead size, microstructure characterizations and …

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 …

To obtain the index gases generation characteristics and differences of coal from different
ranks during spontaneous oxidation, five coal samples representing four coal ranks were …

We introduce an interpretable stochastic integrated machine learning based multiscale
approach for the prediction of the macroscopic thermal conductivity in Polymeric graphene …

In this article, the ability of GMDH artificial neural networks (ANNs) to predict the rheological
behavior (RB) of nanofluids (NFs) containing CuO NPs is studied. ANNs are a powerful …

This paper presents an open digital ecosystem based on a web-framework with a functional
back-end server for user-centric energy retrofits. This data-driven web framework is …

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 …

We investigated the application of ensemble learning approaches in geotechnical stability
analysis and proposed a compound explainable artificial intelligence (XAI) fitted to …

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 …