Sentence examples for slow classifications from inspiring English sources

Exact(1)

Material specific absorption parameters allow for better dose estimation than using ICRP default values for F (fast), M (moderate) and S (slow) classifications of U compounds.

Similar(59)

Slow classification and delayed placement of these patients in negative-pressure isolation rooms contributed to the high percentage (73%) of nosocomial infection in Taiwan (1 ).

Our modeling result merely suggested that the slow classification process, which was effectively rectified with the policy change on May 10, had been one of the contributing factors, and the change was subsequently instrumental in the quick containment of the outbreak.

The first stages offer a quick candidate search and the final stages provide a more accurate but slower classification.

The "standardized" learning styles that have to be adopted for standardized tests do not have room to accommodate slow learners whose classification as ADHD and other categories can stigmatize students who might more likely thrive in a different environment.

In addition, for each individual, the most likely set of parameters that describe that individual was estimated, along with the patient's BCR-ABL1 response classification (slow vs. fast).

On the other hand, having a very large feature vector will make the classification process slow and is not guaranteed to increase classification accuracy.

Classification standards slow down the flow of information.

Uptake of this model of classification was slow, due in part to a lack of evidence of international validation.

Although classification into 'Slow' (D/Pcre <0.55 0.60), 'Average', and 'Fast' (D/Pcre >0.80) transporter status was recently recommended for prescription management in clinical practice [ 23], classification into the four PET categories (L, LA, HA, and H) has been used in many studies, as it was for this study.

However, while the data length exceeded 300 ms, the classification accuracy of SEMG signals was greater than 90% and the rising trend of classification accuracy became slow.

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