Sentence examples for are utilized to classify from inspiring English sources

The phrase "are utilized to classify" is correct and usable in written English.
It can be used in contexts where you are explaining the purpose of certain methods, tools, or criteria in categorizing or organizing information.
Example: "In this study, various metrics are utilized to classify the different species of plants based on their growth patterns."
Alternatives: "are used to categorize" or "are employed to sort".

Exact(2)

Furthermore, a support vector machine and different kernel functions are utilized to classify the samples into different keybeds.

Three models; based on artificial neural networks (ANN), genetic algorithm (GA), and multiple discriminant analysis (MDA) are utilized to classify the bankrupt from non bankrupt corporations.

Similar(58)

An SVM classifier is utilized to classify the feature vectors in order for aggressiveness decision.

Classification: Nearest neighbor classifier (NNC) [10] is utilized to classify extracted feature based on this algorithm.

In this paper, we choose μ = 5.   3) Classification: Nearest neighbor classifier (NNC) [10] is utilized to classify extracted feature based on this algorithm.

Finally, a radial basis function neural network was utilized to classify gearbox faults.

All of which were utilized to classify fallers and the classification accuracies of these models were then analyzed to identify their appropriateness for distinguishing fallers from non-fallers.

The calculated DDTW results can then be utilized to classify the bearing conditions since different conditions have different DDTW bands.

After dimensionality reduction with the SDMP, the least squares support vector machine (LS-SVM) is utilized to classify the different low-dimensional feature data for fault recognition.

The analysis was utilized to classify the type of study, the learning domains, research designs, research domains, subject groups, group sizes, and length of treatments.

The Directional Information Transfer Index (DITI) was used to describe the similarity between rainfall gaging stations, and the fuzzy cluster analysis was utilized to classify rainfall gaging stations into distribution zones with the proximity relation defined by the DITI.

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