Sentence examples for predictions with mean from inspiring English sources

Correlations for heat transfer coefficients and friction factors of single heat sink in single-phase convective flow and subcooled flow boiling were proposed, providing acceptable predictions with mean absolute errors less than 8%.

Open image in new window Fig. 13 Comparison of the model predictions with mean reported asphaltene thickness at four Reynolds numbers a 2500 (depth ~3150 ft), b 2950 (depth ~3750 ft), c 3500 (depth ~10,000 ft), d 4000 (depth ~5850 ft).

This gave good predictions, with the mean EDSS profiles (observed vs predicted) being similar to each other and to those of the entire cohort.

While the space time approaches presented above provided the least biased predictions, all three methodologies resulted in predictions with a mean bias likely to be negligible for health system planners when, for example, determining the mean malaria proportion for a set of facilities in a given district or province.

Excellent predictions with maximum Mean Square Error (MSE) of 0.2787 were observed.

The experimental absorption rates agree well with model predictions with absolute mean deviations in all cases less than 14%.

The model also admitted interphase solid transport between the wake and bulk liquid phase and yielded predictions with a mean squared error between 3% and 6%.

For the range of deep beams considered, the strut-and-tie method with the proposed effectiveness factor formula achieved accurate predictions, with a mean of 1.01, a standard deviation of 6.7% and a coefficient of variation of 6.8%.

Capability of the developed neural network models as well as multivariate regression models is determined by comparing predictions with measured mean particle size values and predictions based on one of the most applied fragmentation prediction models appearing in the blasting literature.

Comparison with the F. vesca transcript set revealed that 44 656 clusters had significant homology to 14 252 Fragaria gene predictions, with a mean identify of over 90%.

All descriptors gave good prediction results with mean AUCs ranging from 0.9535 to 0.9934.