Sentence examples for model validation we from inspiring English sources

For model validation, we collect ADPLL circuit designs published in recent literatures and perform model analysis.

Due to limited experimental data for model validation, we developed and applied a three-tiered docking protocol to predict potential HLA-B*57 01 HLA-B*57 01ounds from DrugBank.

For the evaluation of the designed experiment with the proposed estimator and for the model validation, we propose two cases of study: one in simulation and another one with acquired data in open waters.

Besides using footprint information for the model validation we performed downscaling of MOD17 using 250 m resolution MODerate resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset in order to address land use heterogeneity.

And then, by using the model validation, we found that the model could present the kang's transient behavior correctly, and therefore serve for the design proposals or check analysis in the future research, such as the thermal storage design of the kang plates, appropriate solar collecting area design, indoor thermal impact prediction, etc.

In our previous model validation we focused on identification of key parameters by matching to parasite prevalence patterns by age across the whole age spectrum and a variety of endemic settings [20].

In the vast majority of the turbulence model validation studies we review, the authors fail to adequately address the numerical accuracy of the simulations (i.e., discretization and iterative error) and the sensitivities of the model predictions to freestream turbulence quantities or near-wall y+ mesh spacing.

The Gene Ontology (GO) [ 15] annotation database is commonly used as a reference set for model validation, and we will use it as well.

14Where, Prior to the drug treatment, baseline reticulocytes are defined as: 15Following the steady state solution: 16 For model validation purposes, we performed simulations for RBC and HGB time profiles.

Our results cover two distinct aspects: (1) Control-oriented model validation results, where we show that a measure of size of the validated model set is connected to the size of the model-based controller set that robustly stabilizes the model set, leading to validation design guidelines.

Because model validation was successful, we updated the model on the pooled data (n=5909) to make full use of all available information.