Sentence examples for classification different types of from inspiring English sources

Exact(1)

Depending on such a classification, different types of bending wave shapes are shown to propagate within the beam, ahead and behind the moving load position, and crucial physical characteristics, such as critical velocity and critical damping, are reinterpreted into a wholly exact and complete mathematical framework.

Similar(59)

There are many issues affecting the detection and classification of different types of vehicles.

The developed image processing algorithm allows for extraction and classification of different types of damage.

Detecting change within the trend and seasonal components of time series enables the classification of different types of changes.

This research proposes a generic methodology for dimensionality reduction upon time frequency representations applied to the classification of different types of biosignals.

Indeed Stradling [11] has gone further with a classification of different types of effort when undertaking journeys: physical effort, cognitive effort and affective effort.

These visualizations generally depict classification by different types of characters, rather than by shared ancestry as in evolutionary trees.

It means that adding colour information in the a and b channels is useful for better classification of different types of bread crumbs, when different capturing devices are used (in this case, a scanner and a digital camera).

I draw remarks on the notion of cognition abstracting from all the approaches used to study it, and propose a simple classification for different types of cognition.

Analysing only the case studies that present an assessment of the overall food system, we propose a classification of different types of plans according to specific characteristics; it is a functional choice to achieve (and report) a more thorough comparative analysis of the cases, one that shows the possibilities and the limits of each approach to the assessment.

We used text parsing to extract typed dependencies, which represent syntactic and grammatical relationships between words, and are shown to capture 'othering' language - consistently improving machine classification for different types of cyber hate beyond the use of a Bag of Words and known hateful terms, which have been the main method for identifying cyber hate previously.

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