Sentence examples for detecting areas with from inspiring English sources
Our study also specifically addresses the smoothing of high-risk areas and further use of the posterior distribution of the relative risks for detecting areas with excess risk issues not considered by Lawson et al. (2000).
The latter were used by Richardson et al. (2004) to propose rules for detecting areas with high risk; the authors proved that they are highly specific while having reasonable sensitivity.
For each en-face image, vessel areas were computed using an automated segmentation algorithm including smoothing the Doppler data using a ~30 × 30 µm kernel and detecting areas with positive velocity components in both 100-kHz and 200-kHz data of the same en-face images.
The distribution of this common latent pattern captures about the 36% of the total variability, and may be used to evaluate healthcare systems performance, as it allows detecting areas with homogeneously low or high risk of PPH admissions that may suggest hypotheses about possible causes (and possible interventions) to reduce the volume of PPH.
To detect areas with increased case-detection rates, we used spatial scan statistics to identify 5 of 10 clusters of leprosy in the Amazon region of Brazil.
To detect areas with an increased case-detection rate for leprosy, we used spatial scan statistics (5 ).
Simultaneously to field surveys, remote sensing data have been analyzed as to detect areas with considerable displacement registered by the satellite.
Moreover, in several areas of the brain, including the substantia nigra and the superior colliculus, we detected areas with unusually high T2 values that likely represented accumulation of water.
So Martin traveled cautiously, watching for soaring birds and developing clouds to detect areas with lift, while eyeing the ground to make sure he had a backup plan if he kept descending.
The UR-SIFT detects areas with densely distributed blood vessels which are robust to background changes of the retina.
It is a somewhat expected result, since clustering algorithms detect dense parts of a network, and so they are inclined to detect areas with more reciprocal connections.
