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Both methods were assessed by their performance to classify the pixels of a given image into either specular highlight pixels or other pixels.
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Moreover, soil classes were predicted in the interest region using direct soil observations; finally, the accuracy of the soil maps obtained from both methods was assessed.
Both methods are assessed for two flow configurations: a two-dimensional flow around a square cylinder for a Reynolds number of 100 and a three-dimensional flow past a backward-facing step for a Reynolds number of 7432 based on the step height and the streamwise velocity at the middle of the inlet.
The agreement between both methods was assessed by the method of Bland-Altman.
The agreement between both methods was assessed by Pearson's correlation and by Bland-Altman analysis.
The accuracy of both methods was assessed on the fourteen IXI datasets based on visual analysis of the segmentation results by an expert observer.
The agreement between both methods was assessed as good for anti-CL IgG (kappa = 0.641, 95% confidence interval (CI): 0.541 to 0.767), moderate for anti-CL-IgM (kappa = 0.507, 95% CI: 0.357 to 0.657), very good for anti-β2 GPI IgG (kappa = 0.803, 95% CI: 0.685 to 0.921) and moderate for anti-β2 GPI IgM (kappa = 0.506, 95% CI: 0.352 to 0.659) according to inter-rater agreement statistics.
Both assignment methods were assessed across biotypes and collection sites, both individually and grouped by biotype or geographic cluster.
Both HA and CPE detection methods were assessed.
The coupling methods were assessed using both single-phase flow models and two-phase flow models and good agreements were obtained between the splitting coupling models and the integrated model.
The methods were assessed using both simulations and expression data from a cohort of pediatric acute B lymphoblastic leukemia patients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com