As large-scale discrete-event stochastic simulation becomes a tool that is used routinely for the design and analysis of stochastic systems, the need for input-modeling support with the ability to ...

Abstract: Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the true ...

Abstract: We formulate and evaluate a Bayesian approach to probabilistic input modeling. Taking into account the parameter and stochastic uncertainties inherent in most simulations, this approach ...

2025-07-15 Simulation for All: A Step-by-Step Cookbook for Developing Human-Centered Multi-Agent Transportation Simulators Shiva Azimi et.al. 2507.09367 null 2025-07-10 Automating MD simulations for ...

The magnetoresistive effect supports a variety of sensor applications in automobiles. Major applications are to be found in measuring the speed and angle of mechanical systems. That makes magnetic ...

Huntsville, Ala. (Oct. 29, 2019) - The future of modeling and simulation is in live, virtual and constructive simulation if the Army wants to fight and win the nation's wars in multi-domain operations ...

crime_modeling/ ├── agents/ # Agent behavior models │ ├── criminal_agent.py # Criminal decision-making and behavior │ ├── victim_agent.py # Victim vulnerability and protection │ └── ...

Evaporation is a critical process in the concentration of orange juice, affecting product quality and process efficiency. This study develops a comprehensive mathematical model based on mass and ...