A novel framework for direct multistep prediction in complex systems

T Wu, F An, X Gao, W Zhong, J Kurths - Nonlinear Dynamics, 2023 - Springer
Multistep prediction is an open challenge in many real-world systems for a long time.
Despite the advantages of previous approaches, eg, step-by-step iteration, they have some …

Stability and Bifurcation Analysis of Tumor–Macrophages Response Model and Inhibitory Role of Treg Cells

MA Padder, A Afroz, A Khan - Iranian Journal of Science and Technology …, 2022 - Springer
In this research paper, we propose a four-dimensional tumor–macrophages response model
to study the role of Treg cells in the growth and dynamics of the model. The system of four …

Stability and bifurcation analysis of fractional‐order tumor–macrophages interaction model with multi‐delays

A Padder, FZ Mokkedem… - Mathematical Methods in …, 2024 - Wiley Online Library
In the realm of modeling biological systems with memory, particularly those involving
intricate interactions like tumor‐immune responses, the utilization of multiple time delays …

ANALYSIS OF TUMOR-IMMUNE RESPONSE MODEL BY USING CONFORMABLE FRACTIONAL ORDER DERIVATIVE.

A Padder, R Pal, A Khan - South East Asian Journal of …, 2022 - search.ebscohost.com
In this research paper, the authors propose a generalized three-dimensional fractional order
tumor-immune response model. The generalization of the model is made by introducing …

[PDF][PDF] Dynamical Analysis of Tumor-Immune Interaction Model with Nonlinear Activation Rate.

A Padder, A Afroz, A Khan - Palestine Journal of Mathematics, 2023 - researchgate.net
In this research work, we study the dynamical behavior of the proposed model representing
three cell populations (tumor cells and two types of macrophage cells) and the nonlinear …

[PDF][PDF] Stability and Bifurcation Analysis of Generalized Discrete-Time Tumor Model

A Padder, AK Afroz - 2022 - researchgate.net
In this research work, we propose a generalized three-dimensional tumor model with
nonlinear activation (recruitment) rate. The proposed model is transformed into its discrete …