Sentence examples for models were explored from inspiring English sources

In light of these observations, sphere close packing models were explored.

The predictions of the chosen models were explored using a set of heat-treated steels.

These numbers of models were explored in order to present a robust overview of possible estimations.

Multivariate regression models were explored for non-destructive determination of date, tensile strength, pH and DP (Table 2).

Linear regression models were explored based on these features in order to predict students' knowledge level, as measured with a multiple-choice pre-test, and yielded in the best cases an r=0.949 and adjusted r-square =0.833.

Two multivariate models were explored: (1) adjusted for age, sex, and study center; (2) further adjusted for fasting glucose, insulin, and triglyceride levels.

In addition, the applicability of the two beam models is explored by numerical simulations.

Furthermore, the application of the papiNet standard with these data models is explored.

The applicability of developed models was explored on a validation and test sets and compared with previously developed empirical models.

To leverage the available tools for LTI IMC design, the quasi-linear parameter-varying (quasi-LPV) models are explored.

The potential of habitat-based models was explored to predict the occurrence of carabid beetles in arable conditions.