Sentence examples for a classification in terms of from inspiring English sources

The phrase "a classification in terms of" is correct and usable in written English.
It can be used when discussing how something is categorized or defined based on specific criteria or parameters.
Example: "The study provides a classification in terms of age, gender, and socioeconomic status."
Alternatives: "a categorization based on" or "a classification according to".

Exact(4)

The next step is to adapt the energy management depending on the prediction phase, the elapsed time of the application run, and a classification in terms of resources.

That said, I really don't have a classification in terms of register.

Day-night ratios were also computed for the 7-day record as a whole and for each day separately, for a classification in terms of "dipping".

We opted for a classification in terms of minor/major and single/multiple abnormalities, because it reflects our expectations on the strength of the deleterious effects of these abnormalities.

Similar(56)

The recently published WHO classification of tissue infectivity in TSEs [ 14], though aimed at public health issues radically different from those addressed in our study, may nonetheless serve as a conceptual framework for a tissue classification in terms of risk level of prion acquisition.

A hierarchical classification in terms of demolding is also proposed.

Census data are available for the entire country, and these data allow a reliable estimate of the total number of buildings and their corresponding volume; a rough classification in terms of age and some typological parameters is provided as well.

We also assessed the clinical significance of all classifications in terms of relapse.

He also devised a method of classification in terms of magnitude and spectral type.

304 athletes were enrolled and divided into three subgroups according to a typical sport classification in terms of the maximal oxygen uptake (MaxO2_low, MaxO2_middle and MaxO2_high groups) or the maximal muscular voluntary contraction (MMVC_low, MMVC_middle, and MMVC_high groups).

Even though Random Forest does not need an internal test set for training, as do other methods such as an artificial neural network, we use an internal test set to adjust a threshold to optimise the classification in terms of the Matthews Correlation Coefficient, see below.

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