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Transport in a stochastic double diffusivity model
A recent study analyzed the role of stochastic perturbations on the interface dynamics of two interacting species within a double-diffusivity...
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A unified stochastic damage model for concrete based on multi-scale energy dissipation analysis
This work proposes a unified damage model for concrete within the framework of stochastic damage mechanics. Based on the micro-meso stochastic...
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Stochastic SIV in-host model of dengue virus transmission
The virus transmission in the host depends upon various fundamental factors such as cellular mortality rates, the production rate of viruses, etc.,...
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Output Feedback Stochastic Model Predictive Control for Linear Systems with Convex Optimization Approach
In this paper, a stochastic model predictive controller is designed for discrete time linear time invariant systems, considering additive disturbance...
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Prioritizing highway safety improvement projects using a stochastic optimization model with robust constraints
Road authorities need efficient tools to assign a limited budget to safety improvement projects. The process of prioritizing safety improvement...
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A Stochastic Drag Model for Improved Uncertainty Realism of Select LEO Orbit Predictions
Atmospheric drag is a principal cause of uncertainty in predictions of low Earth orbits and a key factor concerning the degree of uncertainty realism...
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Simplified stochastic temperature model for storage reliability estimation of solid rocket propellants
In this study, a simplified stochastic temperature model is proposed for estimating the storage reliability of solid rocket propellants by...
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A double stochastic SIS network epidemic model with nonlinear contact rate and limited medical resources
This paper explores a double stochastic network epidemic model within the constraints of limited medical resources and nonlinear contact rate....
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Geometric slow–fast analysis of a hybrid pituitary cell model with stochastic ion channel dynamics
To obtain explicit understanding of the behavior of dynamical systems, geometrical methods and slow–fast analysis have proved to be highly useful....
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Dynamics and density function of a stochastic COVID-19 epidemic model with Ornstein–Uhlenbeck process
Two different approaches to incorporate environmental perturbations in stochastic systems are compared analytically and computationally. Then we...
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A stochastic switched SIRI epidemic model integrating nonlinear relapse phenomena
This study aims to analyze the dynamic behaviors of a stochastic SIRI epidemic model with nonlinear relapse under regime switching. We present the...
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Fatigue crack propagation of an AA2198 aeronautic alloy using a stochastic model
Al–Cu–Li alloys for aeronautic applications have been studied mainly with regard to structural stability and the stochastic model has shown potential...
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Stochastic Disturbance Propagation Model Analysis of Power Grids Based on Epidemic Model and Improved Clustering
Based on epidemic model, a stochastic disturbance propagation model of power grids is proposed in this paper. Firstly, compared with epidemic model,...
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A Stochastic Bilevel Programming Model for an Industrial Symbiosis Network
A stochastic bilevel model for an industrial symbiosis (IS) network in an eco-industrial park (EIP) is presented in this paper. Companies in IS...
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Dynamic analysis and application of a stochastic rumor spreading model with education and punishment age under generalized nonlinear incidence on homogeneous networks
With the vigorous development of information technology, online rumors are spreading recklessly. In this article, by comprehensive consideration of...
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How Will Dynamic Charging Tariff Affect Electric Truck Fleet Operation: A Two-Stage Stochastic Model
Technical advances and sustainable development tendency accelerate the implementation of electric trucks. However, the penetration of dynamic...
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Stochastic fatigue damage model for concrete under complex stress states
This paper presents a stochastic fatigue damage model for concrete subjected to complex stress states. A constitutive framework considering the...
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Improved two-stage energy community optimization model considering stochastic behaviour of input data
Integrating renewable energy sources (RES) and the transition of the transport sector to electric vehicles (EV) is a necessary step in reducing...
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Inverted stochastic lattice Boltzmann-Lagrangian model for identifying indoor particulate pollutant sources
AbstractThis paper studies the inverted stochastic lattice Boltzmann-Lagrangian approach for identifying indoor particulate pollutant sources. The...
