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The components of each RDF statement can be identified using Uniform Resource Identifiers (URIs).
Drunken drivers can be identified using a Breathalyzer.
Then we demonstrate that damage severity can be identified using a supervised neural networks approach.
For example, the content resource "CSS" can be identified using the URN "urn:object CSS".
This language can be identified using some prepared special dictionary of dirty words.
Using the Mahalanobis distance values, multivariate outliers can be identified using the χ 2 distribution.
Our simulation shows that voiced speech can be identified using this feature.
The number of groups can be identified using some cluster selection criteria such as gap statistic.
Such vulnerabilities can be identified using the approach detailed in Section 2.1.
These phases can be identified using µRaman spectroscopy and µXPD [38, 39].
Plasticizers can be identified using gas chromatography with mass spectroscopy (GC MS) [6, 27].
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