Sentence examples for improves the predictability from inspiring English sources
The results show that, by considering storm Growth and Decay (GD) trends for the prediction, the PERCAST-GD further improves the predictability of convection in terms of verification parameters such as Probability of Detection (POD) and False Alarm Ratio (FAR) up to 15 20%, compared to the comparison algorithms such as PERCAST.
This study improves the predictability of concrete strengthened with fiber composites and provides useful suggestions on their model uncertainties in engineering practice.
The inclusion of these phenomena is not significantly more complicated when compared to the basic model, but it significantly improves the predictability for large strain rate.
Children with LVH had higher daytime and nighttime SBP loads, significantly higher daytime and nighttime DBP loads, and lesser degree of nocturnal dipping of SBP compared with those who did not.ABPM is more informative than pre- and postdialysis BPs and improves the predictability of BP as a risk factor for target organ damage.
The results demonstrate that ART significantly improves the predictability of MCF-P.
We wanted to answer the question of whether a combination of genetic and metabolic markers improves the predictability of heterosis as compared to the use of genetic markers alone.
The prediction reliabilities implies that the haploblock approach improved the predictability for traits with high heritability, for example, the milk protein trait (h=0.39, for which the reliabilities obtained by the models using the haploblock approach were clearly superior to the reliabilities obtained using the individual SNP approach.
A recommendation is given on the minimum level of geological investigation that may help improve the predictability of geological conditions and reduce the discrepancy between predicted and actual rock mass conditions to an acceptable level.
Robust pro-active scheduling focus on building predictable schedules; the key idea is to improve the predictability of the schedules in a dynamic environment (e.g. by inserting additional time in the predictive schedule) with minimal effects on the schedule performance.
Given that multiple attributes improve the predictability of redundancy, we asked which attributes contribute most to predictions.
For these models we studied the effect of feature selection on the performance of prediction and suggested an optimal number of features for improving the predictability of phenotypes.
