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Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]

Sci Rep
Palanisamy G, Kandasamy U, Rihan FA, Ben Said S.   +3 more
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Mathematical analysis of a stochastic delay model for respiratory syncytial virus dynamics. [PDF]

Sci Rep
Raza A, Lampart M, Shafique U, Alfwzan WF, Fadhal E.   +4 more
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Harnessing non-equilibrium forces to optimize work extraction. [PDF]

Nat Commun
Olsen KS, Goerlich R, Roichman Y, Löwen H.   +3 more
europepmc   +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.
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A Bertrand model with Brownian motion and behavioral errors. [PDF]

Sci Rep
Gao B, Gao X, He S.
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Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]

Sci Rep
Fatima A, Asjad MI, Aslam MN, Riaz MB.
europepmc   +1 more source

Explicit solitary wave structure for the stochastic resonance nonlinear Schrödinger equation under Brownian motion with dynamical analysis. [PDF]

Sci Rep
Nawaz S, Ahmed MO, Baber MZ, Bittaye E, Yasin MW.   +4 more
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Stock price dynamics prediction based on multi-scale fractals and deep learning. [PDF]

PLoS One
Du Y, Tian Y.
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The fractional mixed fractional Brownian motion

Statistics and Probability Letters, 2003
Let \(B_1\) and \(B_2\) be two independent fractional Brownian motions of Hurst index \(H_1\) and \(H_2\), respectively. Given real numbers \(\lambda_1\) and \(\lambda_2\), the two-parameter process \(Z\) is defined by \[ Z(w,s):= \lambda_1\,s^{H_2}\,B_1(w) + \lambda_2\,s^{H_1}\,B_2(w),\quad 0\leq w\leq s.
Charles El-Nouty
exaly   +2 more sources