To classify brain images into pathological or healthy is a key pre‐clinical state for patients.
Manual classification is tiresome, expensive, time‐consuming, and irreproducible. In this …

In this article, a special point is found for the interpolation approximation of the linear
combination of multi-term fractional derivatives. The derived numerical differentiation …

The main goal of this paper is to define a simple but effective method for approximating
solutions of multi-order fractional differential equations relying on Caputo fractional …

The main objective of the present study is to develop the operational matrix for fractional
integration. In order to find the numerical solution of non-linear fractional weakly singular two …

In this paper, a numerical method is developed to obtain a solution of Caputo's and
Riemann-Liouville's Fractional Differential Equations (CFDE and RLFDE). Scientific …

Fractional order derivatives and integrals are infinite-dimensional operators and non-local in
time. Currently, the researchers are working on the solution of the fractional optimal control …

The present paper is useful for two reasons. First, as far as we know, the right operational
matrix of the Riemann–Liouville fractional integral for triangular functions is introduced for …

The main purpose of this paper is to provide an efficient numerical approach for multi-order
fractional differential equations based on a Tau-Collocation method. To do this, multi-order …

An eigenfunction approach is implemented in this article to solve the multi-order fractional
differential equations (FDEs) with boundary conditions. The approximate unknown solution …

This article presents the numerical solutions of nonlinear stochastic It o∧–Volterra integral
equations by using the basis function method under the global Lipschitz condition. Integral …