Sentence examples for modeling procedures the from inspiring English sources

Through such an integrated three modeling procedures, the heterogeneity characteristics of a reservoir which is represented by reservoir architecture elements in different scales and hierarchical levels are presented in the final reservoir model.

In both H4R and 5-HT3AR modelseeSupplementarytary data for a description of the protein modeling procedure), the positively ionizable piperazine group of the dual H4R/5-HT3AR hit 8 forms a salt bridge (D3.32 in H4R, E129 in 5-HT3AR) and makes cation-π (F7.39 in H4R, Y234 and W183 in 5-HT3AR) aromaticatic π π stacking interactions (Y3.33 and Y6.51 in H4R, Y153 in 5-HT3AR).

From the above modeling procedure, the overall workflow of the orthosis design is shown as a flow chart (Fig. 8).

Then we describe the modeling procedure, the system design integrating the use of multiple cameras and two robotic total stations, and the field implementation to check sling lengths in modeling a rigging system in a module assembly yard.

Collectively, however, the available data indicate that unlike the modeling procedure, the rYES does not produce false negatives.

The modeling procedures for the DDD data were the same as those for the Xponent data, except that we modeled total retail distribution volume by month for each drug category.

Finally the model was evaluated using PROCHECK V.3.4.4 [49] in order to verify if the quality of structure at the end of the modeling procedures meets the crystallographic standards.

The training and validation sets were used in the modeling procedures whereas the test set was only used in the evaluation and comparison of the final classification models.

The remaining three subsets ({mathbb{O}}_{text{H}}), ({mathbb{O}}_{text{F}}) and ({mathbb{O}}_{text{W}}) are useful to compare the forecasting accuracy of the modeling procedures on the public holidays itself.

The load has similar modeling procedures as the wind speed; the details are not reported for the sake of brevity.

This section introduces the basic concepts and modeling procedures of the ARIMA and MLP models and series and the parallel hybrid methods for time series forecasting.