Sentence examples for able to predict areas from inspiring English sources

This system has the potential to be applied to other developing countries, thereby identifying their stage in the transition and being able to predict areas of concern that are most in need of assistance.

China has been undertaking time-consuming testing of wells but the process could take decades to complete, prompting the researchers of the new study to produce a computer model able to predict which areas would be most likely at risk.

For the same reason, it is impossible to predict "areas to be avoided".

The level 3 complexity is better able to predict cattail in areas of typically high phosphorus or of high cattail density than the previous two levels of complexity.

The FE model is able to predict the damaged areas and the incipient collapse mechanism, as well as the collapse load.

This is fundamentally different to the use of phenomenologically based material algorithms which require a much wider range of characterisation and validation tests to be able to predict a reduced area of the performance space.

ROC analysis showed that the global CIA score was better able to predict case status (area under curve = 0.88) than the three individual domains (personal, social, and cognitive domains 0.87, 0.85, and 0.80, respectively; with the cognitive domain performing significantly less well (p = 0.0014)).

High scores on anxiety questionnaires are able to predict the activation of cortical areas responsible for pain perception [42].

High-resolution neighbourhood-scale modelling tools developed to account for the complex three-dimensional surfaces and volumes within an urban area are able to predict temperature perturbations over an urban domain with reference to varying land-use.

Fine-scale geomorphological mapping is demonstrated to be able to predict macrobenthos occurrences within shallow sandbank areas of the Belgian part of the North Sea.

Semiconductor devices development, design and optimization require the use of computer simulation tools able to predict the entire device safe operating area (SOA), something that it is not always possible due to limitations in some of the physical models in predicting certain properties of device operation under extreme conditions (i.e. high carrier injection levels and high temperature).