Sentence examples for model output provided from inspiring English sources

BIM analysed the model output, provided the main interpretations for the paper and wrote a draft manuscript.

This assessment, based upon the entire distribution of the model output, provides us with ways to effectively reduce uncertainty in the model output, either by prioritizing the model factors that need to be better known or by prioritizing the areas where additional modelling efforts are needed.

CMAQ model outputs provided a unique opportunity to evaluate the quality of the current air quality model and would help mission designers to better design future mission.

A comparison between the experimental data and model outputs provided a high correlation coefficient (R2all_ANN equal to 0.9998) and exhibited that the model was capable for predicting the phycoremediation of both As III) and As V) from wastewater.

On balance, our experience suggests that integrated consideration of all six FGENESH model outputs provided maximal insight into the genetic content of the studied Fragaria sequences.

The model outputs provide the labels for semi-supervised learning.

The model outputs provide evidence that the unfamiliar steer was actively trying to engage with either of the familiar animals while there was also evidence to suggest that the familiar pair were excluding the unfamiliar animal; however, as there were no visual observations to validate these claims, our assumptions are speculative but evidenced by the patterns shown in the results.

Even though the composition of these pixels for different classes can be estimated with a pixel un-mixing model, the output provides no indication of how such classes are distributed spatially within these pixels.

The text describes the main results relevant to the experimental hypotheses; full model output is provided in the Appendix.

Experimental results show that the MaaS prototype significantly simplifies model setup, accelerates model simulation and enhances model output by providing a web-based, on-demand, scalable modeling environment.

A Monte Carlo procedure is described as a tool to propagate the influence of the input uncertainty of the fluid parameters on the ORC model output, and provides the 95%-confidence interval of the net power output with respect to the fluid property uncertainties.