Results 241 to 250 of about 29,026 (312)

Novel Synchronization Analysis of Fractional‐Order Nonautonomous Neural Networks With Mixed Delays

Discrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.
This paper focuses on the global Mittag–Leffler synchronization of fractional‐order nonautonomous neural networks with mixed delays (FONANNMD). A time‐varying coefficient eρt is introduced to capture the nonautonomous dynamics, aligning with real‐world time‐varying neuron connection weights. A linear feedback controller, integrating proportional, delay,
Xiao-wen Tan, Yu Wang, Tian-zeng Li, Qian-kun Wang, Sundarapandian Vaidyanathan   +4 more
wiley   +1 more source

Fractional-order modelling and analytical solutions for MHD casson fluid flow in an inclined channel with heat and mass transfer. [PDF]

Sci Rep
Alwuthaynani M, Ishtiaq U, El-Wahed Khalifa HA, Alburaikan A, Idress R, Popa IL.   +5 more
europepmc   +1 more source

Neuronal Dynamics of an Intrinsically Bursting Neuron Through the Caputo–Fabrizio Fractal–Fractional Hodgkin–Huxley Model

International Journal of Differential Equations, Volume 2026, Issue 1, 2026.
This study introduces a novel fractal–fractional extension of the Hodgkin–Huxley model to capture complex neuronal dynamics, with particular focus on intrinsically bursting patterns. The key innovation lies in the simultaneous incorporation of Caputo–Fabrizio operators with fractional order α for memory effects and fractal dimension τ for temporal ...
M. J. Islam, M. J. Abedin, A. Hoque, M. G. Hafez, Jaume Giné   +4 more
wiley   +1 more source

Existence and controllability analysis of multi-term fractional coupled systems with generalized [Formula: see text]-Caputo-Fabrizio operators. [PDF]

Sci Rep
Saad KM, Abdo MS, Hamanah WM.
europepmc   +1 more source

From Empirical Models to Physics‐Informed Neural Networks: The Evolution of Oil Production Forecasting

Journal of GeoEnergy, Volume 2026, Issue 1, 2026.
Production forecasting for oil and gas wells is a decisive element of field‐development planning because it directly guides recovery strategy design, production optimisation and risk management. Conventional methods, including empirical decline‐curve analysis (DCA) and full‐physics numerical simulation, are limited either by their inability to capture ...
Shitan Yin, Erlong Yang, Xianjun Wang, Chi Dong, Mehdi Ostadhassan   +4 more
wiley   +1 more source

Analysis of variable-order fractional enzyme kinetics model with time delay. [PDF]

Sci Rep
Agilan K, Naveen S, Suganya S, Parthiban V.   +3 more
europepmc   +1 more source

Understanding Measles Contagion: A Fractional‐Order Model With Stability and Sensitivity Insights

Journal of Mathematics, Volume 2026, Issue 1, 2026.
In this paper, we propose an epidemiological mathematical model described by a system of nonlinear differential equations of fractional order (FODEs). Specifically, we employ the Caputo fractional derivative (CFD). Our analysis verifies the existence of a solution.
Mahmoud H. DarAssi, Mamoon Ahmed, Yousef AbuHour, Chang Phang   +3 more
wiley   +1 more source

Analysis of hybrid fractional integro-differential equations with application to cholera dynamics. [PDF]

Sci Rep
Algolam MS, Chebab M, Abdo MS, Alshammari F, Aldwoah K.   +4 more
europepmc   +1 more source

Exact Solitary Wave Solutions in Nonlinear Carbon Nanotube Composite Beams on Viscoelastic Foundations Under M‐Truncated Derivative

Journal of Mathematics, Volume 2026, Issue 1, 2026.
In this study, the nonlinear partial differential equation that governs the free vibration of a carbon nanotube composite beam is analytically investigated using the truncated M‐fractional derivative. This model is a beam supported by a nonlinear viscoelastic base and reinforced by carbon nanotubes.
Nadia Javed, Nauman Ahmed, Muhammad Zafarullah Baber, Tukur Abdulkadir Sulaiman, Taha Radwan, Abeer S. Khalifa, Karim K. Ahmed, Dimitri Mugnai   +7 more
wiley   +1 more source

Analysis of drug-resistant tuberculosis transmission dynamics in China using fractional stochastic model. [PDF]

PLoS One
Jiang S, Wang H, Hu Y.
europepmc   +1 more source