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Genomic predictions using different marker datasets and different models were validated by comparing genomic estimated breeding values (GEBV and DRPP for animals in the test data.
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Twenty-five different calibration models were validated by cross-validation approach with 25 left out standards.
In this study, 7 mathematical models were proposed to predict the moisture sorption properties and color changes at different RH, and the models were validated by experimental results.
Models were validated in different periods and on different links, in some cases demonstrating large bias.
These models were validated with different measurements in outdoor scenarios.
The performances of the developed models were validated by two different methods, i.e., leave-1-out cross validation and bootstrapping.
The models were validated with field data from different wells.
Similarly cost models were validated.
Subsequently the models were validated on site.
It suggests that the models were validated.
The simulation is validated against experimental data reported in the literature and compared with other models proposed by different authors; once the model is validated, the dependence of the syngas composition on operational pressure, temperature, steam/coal and air/coal ratios are studied.
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CEO of Professional Science Editing for Scientists @ prosciediting.com