Latest Articles for Modeling Techniques

Exploring techniques for improved parametric system modeling in engineering and science.

Exploring the challenges of using ensemble methods in machine learning.

GFN-ROM enhances model order reduction using graph neural networks for efficient simulations.

This study presents a method to improve fluid-structure interaction predictions for engineering applications.

New methods enhance the reliability of GEMs for biological research.

Learn about model identification methods in control systems and their significance.

A fast tool checks BPMN models for errors, ensuring smooth business processes.

A look at how biorthogonal polynomials enhance polynomial regression methods.

Tracking movement through videos simplifies the study of complex systems.

New approaches enhance control strategies for complex, nonlinear systems using random features.

A look at two key approaches in data science and their unique strengths.

A new model enhances the analysis of electronic loads in power grids.

Combining Stochastic State Classes and simulation offers better analysis of complex systems.

New approaches address claim dependencies for better risk management.

Combining multiple models leads to more accurate predictions.

A user-friendly tool for building Petri Nets and simulating complex systems.

Research introduces Fusion-LLM to enhance prediction of hot electron behavior in fusion.

A new approach enhances CSG modeling using fuzzy logic for smoother transitions.

Funplex improves efficiency in energy systems modeling and stakeholder engagement.

Learn how vine copulas improve predictions in complex data relationships.

LaseNet enhances the extraction of hidden variables in cognitive models using neural networks.

New methods improve wireless signal prediction and localization using neural networks.

A new method improves GP models to handle complex 3D printed designs.

Examining how latent Gaussian models improve data analysis in public health and migration.

CHCDS improves prediction accuracy without data partitioning.

Methods for accurate source localization considering mutual coupling effects.

A practical approach to model droop-controlled converters for better performance analysis.

A new approach to energy system modeling improves speed and flexibility.

This article discusses a new method for calibrating agent-based models using random forests.

Learn how reduced-order models aid in analyzing complex systems using causation entropy.

ROMs streamline complex simulations for efficient engineering solutions.

Efficient modeling techniques enhance engineering design processes and reduce costs.

New modeling approach improves understanding of complex biological networks.

A study on improving solutions for boundary conditions in mathematics and engineering.

A new method enhances accuracy in astronomical data analysis through iterative learning.

Exploring geometry's role in understanding biological dynamics and limit cycles.

New methods improve accuracy and efficiency in solving inverse problems.

A new method improves solvent modeling accuracy in computational studies.

Introducing a Bayesian method for inferring hidden states in complex systems.

Analyzing Proper Orthogonal Decomposition's performance excluding difference quotients.