Latest Articles for Modeling Techniques

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.

A new framework improves predictive modeling by merging varied engineering data sources.

A new simulation model improves understanding of atmospheric moisture behavior.

Introducing NGSP and NGFSP for advanced financial data analysis.

Calibration helps improve accuracy in disease spread models for better health decisions.

BPMN Analyzer 2.0 quickly identifies and fixes control flow errors in business process models.

Combining models enhances predictions and uncertainty understanding in astronomy.

Exploring Denoising Diffusion Variational Inference's impact on DGPs.

fStress aids in model fitting by measuring distance and optimizing data analysis.

This article explores the role of reaction networks in biological processes and sensitivity analysis methods.

Learn how to assess complexity in process models for better clarity and usability.

A new method enhances reduced-order models using Bayesian learning and Gaussian processes.

A look into how optical models help predict fission behaviors.

This article examines metaconsistency in statistical models for unpredictable systems.