Sentence examples for capable of predictions from inspiring English sources

Astrophysics has transformed cosmology from a purely speculative activity to a modern science capable of predictions that can be tested.

It is clearly seen that the proposed models are capable of prediction of the surface roughness.

This model provides a simple tool capable of prediction with only simple input parameters: steel composition and ferrite grain size.

Such an integrated ANN/laccase biosensor system is capable of prediction of cathecol concentration of olive oil mill wastewater, based on the created models and patterns, without any previous phenomenological knowledge.

Artificial Neural Network (ANN) models, capable of prediction and diagnosis in non-linear and complex systems, are used to obtain the relationship of composition and processing parameters with said mechanical properties.

Such an integrated ANN/laccase biosensor system is capable of prediction of phenolic compounds concentration of olive oil mill wastewater, based on the created models and patterns, without any previous phenomenological knowledge.

Following this effort, 272 of the 730 nodes in the final Cellular Stress Network model were eligible for prediction (containing four or more downstream gene expression relationships and thus capable of prediction as a hypothesis) by RCR.

In total, the four senescence sub-models used for evaluation contain 259 unique nodes, 126 (49%) of which were eligible for prediction (meaning that they contain four or more downstream gene expression relationships and thus are capable of prediction as a hypothesis) by RCR.

Agent-based models that are strongly informed by empirical facts and capable of producing predictions at multiple scales and resolutions - predictions for which empirical data are presently available - could be a highly desirable outcome of the increased interaction among the two communities.

Also, we would like to be proven wrong, and will be convinced of the usefulness of ab initio structure based predictions by a method that is publicly available, capable of performing predictions for 1,000 peptides in less than a day, and was developed without requiring peptide:MHC binding data for a complex parameterization.

Calculated difference (f1) and similarity (f2) factors indicate that dynamic networks are capable of accurate predictions.