In this paper, a three-dimensional cancer model was considered using the Caputo-Fabrizio-
Caputo and the new fractional derivative with Mittag-Leffler kernel in Liouville-Caputo sense …

Analyzing the dynamics of tumor‐immune systems can play an important role in the fight
against cancer, since it can foster the development of more effective medical treatments …

In this article, we investigate a tumor-immune and antigen-presenting cells population in the
form of a mathematical model. To achieve greater accuracy in understanding the spread of …

This manuscript aims at investigating the neural adaptive control of drug dosage regimens in
cancer treatment. The goal of the treatment is to get an appropriate scheme for the drug …

This paper will establish the importance and significance of studying the fractional-order
control of nonlinear dynamical systems. The foundation and the sources related to this …

In this paper, a novel approach involving a fractional recurrent neural network (RNN) is
proposed to achieve the observer-based synchronization of a cancer cell model. According …

In this paper we develop and analyze a three dimensional cancer model based on the
chaotic behavior. Firstly we construct stochastic environment because of parameters random …

In this paper, we propose and analyze a three-dimensional fractional predator–prey system
with two nonidentical delays. By choosing two delays as the bifurcation parameter, we first …

Cancer is one of the leading factors of human mortality. The main goal of this article is to
present and control a tumor treatment immunity. It can adaptively benefit from the …

The purpose of this paper is designing to optimise controller parameters for improvement of
the performances of cancer dynamic by combining both TS fuzzy sliding mode method and …