Latest Articles for Modeling Techniques

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.

A new approach to understanding cold gas clouds and star formation in galaxies.

A study on improving parameter estimation in vapor-liquid equilibrium models.

This article discusses models to simplify the study of heavy fermion materials.

Combining Bayesian updating and surrogate modeling for improved model parameter estimation.

A deep look into soft magnetic composite materials and their modeling.

Researchers develop a method to find governing equations from noisy data.

New methods enhance data modeling through weighted pseudoinverses and efficient algorithms.

Examining the impact of data removal on MCMC analysis conclusions.

A look at how new modeling techniques improve understanding of interconnected systems.

A method to simplify regression model selection amidst uncertainty.

A novel approach improves atomic structure modeling for materials science.

A new method enhances prediction accuracy using leave-one-out cross-validation.

New methods combine simple models with advanced grids for efficient subsurface analysis.

Discover new tools for dynamic system modeling through deep learning.

Learn how Langevin dynamics improves parameter estimation over traditional methods.

A new method for predicting slow dynamics in multiscale systems using data-driven techniques.

Using surveys to improve disease modeling accuracy.

New SIR model enhances disease prediction and public health response.

A new method enhances climate model precision through systematic parameter adjustments.

A look at how Wigner rotations influence particle interactions and decay processes.

Research on reduced models for predicting behaviors of bolted joints under dynamic loads.

A look into stochastic volatility models and their impact on finance.

A look at the Finke-Watkzy model's impact on chemical reactions and disease spread.

A complex version of the logistic map incorporates fractional order for better modeling.

Explore how changing probability measures affects stochastic partial differential equations.

Discover the SALT method for improved fluid dynamics modeling.

Methods to enhance efficiency in simulating complex turbulent flows.