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First, a decision tree learning algorithm is adopted to train the VIV mode classification model by mapping the relationship between wind characteristics and VIV mode; this can be employed to automatically identify VIV modes.
Machine learning techniques can be employed to automatically learn case definitions from an example set of free-text EMRs.
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Machine learning procedures are employed to automatically learn commonalities and differences between different classes.
A determinant-factorization method is employed to automatically eliminate eventual spurious frequencies.
Furthermore, graphic link chains are employed to automatically generate a transaction flow infrastructure, supporting the corresponding process monitors and controllers.
DESS, however, require to account for multiple redundant conversion units, and thus a successive approach is employed to automatically expand the initial P-graph superstructure.
The jump condition is imposed in a sharp manner, using the Voronoi Interface Method of Guittet et al. [14], while adaptive Quad/Oc-tree grids are employed to automatically refine near the cells boundary for increased accuracy.
In the IE sub-domain, the similarity partition concept together with the IEM formulation are employed to automatically generate a large number of infinitesimal elements, layer by layer, around the tip of each crack.
This is achieved by proposed edge detection method which involves two steps: (1) a 2D-direction filter is designed accordingly to enhance the contrast between the background and the scratches then (2) a modified adaptive threshold method is employed to automatically detect the edge of the scratches on a filtered image.
The intracranial mask image was employed to automatically crop brain tissues from non-brain tissues in all images.
This method consists of two key parts: first, biological image analysis is employed to automatically monitor and quantify shape-, andearance-, and motion-based phenotypes of the parasites.
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