Latest Articles for Modeling

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

New models enhance accuracy in gas-particle flow simulations for industry and environment.

This paper analyzes errors in linearizing stochastic models and provides a framework for error estimation.

Explore how infinitesimal and infinite numbers shape mathematical modeling in various fields.

A new method simplifies complex multiscale problems using gradient descent.

An overview of ODEs in continuous computing and complexity challenges.

Introducing an innovative scheme for creating smooth curves from irregular points.

Exploring the interplay between fractals and random fields.

A look at how ASEP helps study particle behavior in complex systems.

A look at methods to improve model predictions and reduce uncertainty.

A new approach to studying complex systems emphasizes the significance of interactions.

Learn to improve optimization using simpler models combined with high-quality data.

A new method blends local and nonlocal modeling to improve accuracy and reduce costs.

A look at innovative collaborative approaches in neuroscience research.

A new framework improves prediction accuracy in fluid dynamics.

Learn how threshold OU processes aid in predicting behavior in various fields.

Chouca simplifies ecosystem modeling using Stochastic Cellular Automata for better ecological insights.

Exploring nondeterministic causal models for better analysis of complex relationships.

Exploring the use of agent-based models in various fields.

Introducing a framework that improves reliability analysis efficiency for rare events.

Analyzing conservation laws influenced by hysteresis using the Play operator.

A new method helps identify errors in simulation models.

This article discusses the challenges in model validation due to contaminated data.

Examining how mixing affects ocean oscillations and climate dynamics.

Research on parasite interactions may lead to better treatments and solutions.

A new approach to simplify models of complex systems while maintaining performance.

Research into solvable systems reveals new insights into computation and mathematical modeling.

A clear breakdown of continuous logic and its essential theories.

A look at how mathematical models explain vegetation dynamics in challenging environments.

A method to enhance model accuracy by accounting for uncertainty in variables.

Research improves models by addressing uncertainty in Universal Differential Equations.

This article analyzes a model of three species interacting over time and space.

This article discusses methods to sample from complex high-dimensional data more effectively.

An overview of how similarity measures assess brain activity models.

A look into path signatures and their role in stochastic modeling.

A new framework improves agent-based modeling by integrating diverse expert insights.

A look at random variables and Markov chains across various fields.

A look at how biological models work together to reveal system interactions.

Learn how friction affects mechanical systems with constraints.

Learn how to manage uncertainties in modeling for better decision-making.