Diabetes is one of the most prevalent non-communicable diseases and 6th leading cause death worldwide. It’s a chronic metabolic disorder which has no cure, however, it highly treatable condition, if diagnosed managed on time to avoid its complications. This paper explores compares various machine learning (ML) approaches that can help in determining risk diabetes at an early stage aid improving...

Ground water pollution is a serious environmental problem that may damage human health, destroy the ecosystem and cause water shortage. In all situations, we need tool to predict the pollutant distribution in ground water. The only tool that we can use is mathematical modeling. Recently, very intensive efforts have been devoted to develop meshless or element free methods that eliminate the need...

In our previous work, an effective preconditioning scheme that is based upon constructing least-squares approximation cardinal basis functions (ACBFs) from linear combinations of the RBF-PDE matrix elements has shown very attractive numerical results. The preconditioner costs O(N2) flops to set up and O(N) storage. The preconditioning technique is sufficiently general that it can be applied to ...

Radial basis function interpolation involves two stages. The first is fitting, solving a linear system corresponding to the interpolation conditions. The second is evaluation. The systems occuring in fitting problems are often very ill-conditioned. Changing the basis in which the radial basis function space is expressed can greatly improve the conditioning of these systems resulting in improved...

In this work, we consider a homotopic principle for solving large-scale and dense underdetermined problems and its applications in image processing and classification. We solve the face recognition problem where the input image contains corrupted and/or lost pixels. The approach involves two steps: first, the incomplete or corrupted image is subject to an inpainting process, and secondly, the r...

In this article, we present an error estimate of the derivative approximation by the local multiquadricbased differential quadrature (LMQDQ) method. Radial basis function is different from the polynomial approximation, in which Taylor series expansion is not applicable. So, the present analysis is performed through the numerical solution of Poisson equation. It is known that the approximation e...

In recent years, geographically weighted regression (GWR) models have been widely used to address the spatial heterogeneity and autocorrelation of PM2.5, but these studies not fully considered effects all potential variables on PM2.5 variation rarely optimized for residuals. Therefore, we first propose a modified GWR model based principal component analysis (PCA-GWR), then introduce five differ...

A large-eddy simulation (LES) based meshless model is developed for the three-dimensional (3D) problem of continuous casting (CC) steel billet. The local collocation method on radial basis functions (RBF) applied in 3D. applies scaled multiquadric (MQ) RBF with a shape parameter seven nodded sub-domains. incompressible turbulent fluid flow described using mass, energy, and momentum conservation...