Sentence examples for predicted indicators from inspiring English sources

The presented examples come from different extended engineering facilities, for which predicted indicators of deformation were set.

For example, Virtual Research Associates has produced the GeoMonitor to help predict indicators with relationship to country stability.

The shape of the city in space, including for example its residential density, matter much less than (and are mostly accounted for by) population size in predicting indicators of urban performance.

We demonstrate that a BART model performed similarly to other regression tree approaches when field data and high spatial resolution imagery predictions were combined to predict indicator values using the medium spatial resolution Landsat image.

This connection is recognized as a predicting indicator for the increased uptake of research results [ 5].

To implement and evaluate the proposed SWLPS, actual network indicators and predicted network indicators are generated using passing distribution data and SNA.

We propose an automatic, Bayesian, approach to parameter estimation based on adaptive Markov chain Monte Carlo sampling that assimilates non-invasive quantities commonly acquired in routine clinical care, quantifies the uncertainty in the estimated parameters and computes the confidence in local predicted hemodynamic indicators.

These weather patterns have long been predicted as indicators of a changing climate, and as the world continues to warm, we can expect these events to occur more often, with greater intensity.

Building on our previous analysis of current progress towards key HReH indicators and cataract surgery rates (CSRs), we predicted future indicator achievement among 16 countries of sub-Saharan Africa by 2020.

Another generation of risk index models introduces the concept of indexing the individual failure-predicting indicators; however, their approach shares the same weaknesses of univariate analysis and provides largely arbitrary risk metrics.

We finally show that our indicators capture a large range of behavioral traits using factor analysis and that the framework can be used to predict other indicators of vulnerability such as age or socio-economic status.