Sentence examples for and classification with a from inspiring English sources

Exact(2)

The second deals with parasites and parasitism in general the third with insect anatomy and classification, with a useful working key to the orders of insects.

The results obtained from the automated analysis were validated by separately comparing segmentation and classification with a careful analysis by human experts as a reference.

Similar(58)

Osteomyelitis of the lower extremity: pathophysiology, imaging, and classification, with an emphasis on diabetic foot infection.

Our classification provides a practical and simple classification with a reasonable number of categories that should be helpful in determining which of the types of verbal teaching is most effective for which procedure and at what stage in the learning.

Variation in the classification of ILDs, both historically and internationally, has not aided diagnosis, but recent consensus guidelines to both diagnosis and classification, together with a new nomenclature, offer an opportunity for greater precision.

In the current study, a more evolved Support Vector approach, the SVR, has been used to implement training and classification along with a scoring scheme, regressions score.

Temperament correlated with schema quality (assessed with the thematic apperception test) and with classification with an emotional disability (ED) but did not make a unique contribution to the prediction of ED after removal of schema related variance.

Study by Kumar et al. (2012) indicates that the type of soil in the catchment area is loam (US Bureau of Soil and PRA Classification) with an average proportion of 50 55 % of sand, 35 42 % silt and 8 15 % clay.

The scoliosis was classified as type III, according to the King and Lenke 1C classification, with a right thoracic curve of 53° and a left lumbar curve of 52° (Figs.  3 and 4).

Hu, M. et al. Memristor-based analog computation and neural network classification with a dot product engine.

The signatures were used to extract Cepstral features from the data and to perform classification with a Bayesian classifier based on Gaussian mixture models.

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