In this work, the fractional novel analytic method (FNAM) is successfully implemented on
some well-known, strongly nonlinear fractional partial differential equations (NFPDEs), and …

Symmetry performs an essential function in finding the correct techniques for solutions to
time space fractional differential equations (TSFDEs). In this article, we present the Novel …

This paper presents an innovative approach to solve equal-width time-fractional-order
equations that describe the behavior of waves in a certain physical system, using the Caputo …

In this article, a highly effective technique is implemented to obtain the approximate
solutions of strongly nonlinear fractional order partial differential equations (NFPDEs). The …

In this work, a new approximate method is proposed to enhance the accuracy and
convergence of solutions for differential equations. This method uses the Taylors' series in …

Image denoising is process of removing the noise (ie artifacts) in digital image. Noise
reduction is an essential process of image processing in order to improve, analyze and …

The purpose of this work was to solve a hyperbolic partial differential equation using
machine learning techniques via the Physics Informed Neural Network-PINN method. The …

Abstract The Pantograph Delay Differential Equation (PDDE), which incorporates a linear
functional argument, is the subject of this study, which is a generalization of a functional …