Sentence examples for are capable of prediction from inspiring English sources

The phrase "are capable of prediction" is correct and usable in written English.
You can use it when discussing the ability of a system, model, or individual to foresee or anticipate future events or outcomes.
Example: "The weather models are capable of prediction, allowing us to prepare for upcoming storms."
Alternatives: "can forecast" or "have the ability to predict."

Exact(2)

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

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.

Similar(58)

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.

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.

Although breakout prediction systems (BOPS) are capable of predicting breakouts, these systems are unable to significantly reduce the number of breakouts because they only notify the operator to examine potential symptoms of breakouts.

Our logistic prediction model was capable of predicting recurrent shock when compared to the null method (P < 0.05) and was not outperformed by other prediction models.

The proposed prediction model is capable of predicting the wind power several steps ahead which is used in the optimization part of the controller.

Several prediction models were capable of predicting reshock in children who had a first dengue shock (AUC >0.7).

A variety of software packages are capable of epitope prediction for HLA alleles.

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

Results of regression fit and validation analysis yield high R2 values and low NRMSE values, indicating that the ROMs derived from PCE are capable of meaningful predictions (compared to conventional reservoir models) and effectively represent relationships between model parameters (inputs) and model results (outputs) of interest.

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