Sentence examples for modeling approaches utilized from inspiring English sources

Nevertheless, the results of this study suggest that the reasonably simplistic modeling approaches utilized in this study may be applied at other field sites to estimate parameters and conceptualize dominant transport processes through highly heterogeneous, unsaturated material.

Due to the complex nature of the outdoor airflow around the buildings in urban neighborhoods, a practical modeling approach utilizes multi-scale modeling to account for different spatial and temporal scales for the relevant transport processes.

Again, a general linear modelling approach was utilized to account for IQ when examining group differences on the standardized language and behaviour measures, with just the summary scales being modelled in these analyses.

For this purpose, statistical and grammatical language modeling methods are common approaches utilized in spoken human-computer interaction.

Three different geophysical modeling approaches were utilized in this study: 1. 3D unconstrained, heterogeneous density modeling   2.

Laboratory experiments, airborne experiments and theoretical molecular modeling approaches were utilized to identify and select reagent ions and to understand the ion-molecule reactions for the formation of peroxide-ion clusters in the ambient air matrix under tropospheric conditions.

This project uses a spatial suitability modeling approach that incorporates fuzzy logic and utilizes both physical and economic variables.

We utilize a novel modeling approach to untangle the complex interactions between methylation and gene expression.

While both approaches utilized growth mixture models to identify subgroups of individuals sharing similar hormone trajectory patterns over time, our approach integrated additional statistical concepts (including robust inference and semi-parametric smoothing methods), modeled within-woman variability and studied its association with FMP age.

Computational approaches utilizing dynamical modeling have already been used to simulate the effect of drug combinations and generate experimentally testable interventions [ 67, 68].

A plethora of approaches utilize statistical models of speech signals.