Sentence examples for classification showed from inspiring English sources

Image classification showed that savannahs/shrubs are the most widespread vegetation types (54.4%) while forestlands and woodlands cover 10.4% and 26.4% of the total area, respectively.

The phylogenetic classification showed greater evolutionary distance between the old world arenaviruses (Lassa and LCM virus) than between the new world arenaviruses (JUNV and Machupo virus).

The QuickBird classification showed the highest accuracy when tested against field data, while the Aster image was generally more problematic to classify than the Landsat TM5 image.

However, a post hoc analysis based on a prospective clinical classification showed that clomethiazole was effective in a subgroup of patients who had deficits of a major stroke.

Fracture classification showed increased fatty acids, lysolipids, and inositol metabolites as fracture severity increased.

Experiments performed for cross-language sentiment classification showed the proposed CL-SCL had competitive results.

The use of multifractal features in bread crumb texture classification showed excellent performance.

ASP and D'Amico classification showed a moderate correlation (rho = 0.6; p < 0.05; CI 0.32 0.78).

The proposed NR metric based on image classification showed consistently good performance for different impairment types.

AO/OTA classification showed five 61-B injury patterns two 61-B1.1, two B2.1, and one B3.2.

The functional assessment based on the Judet classification showed 51% of the patients had good results and 19.35% (6 cases) were excellent.