Sentence examples for classification is investigated from inspiring English sources
In this article, a novel approach to automatic breast tissue classification is investigated.
Each classification is investigated in terms of the Superframe format, classification of a patient's data and MA scheduling access schemes.
In view of this, a detection method of HLB based on visible spectrum image processing and C-SVC (cost-support vector classification) was investigated in the study.
The correspondence between this zonation pattern of macrobenthic communities and the EUNIS habitat classification was investigated and the results were mapped to provide a reference state of intertidal soft-sediment beaches and estuaries.
Algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of principal component analysis for data reduction and Fisher discriminant analysis for classification were investigated.
Cluster-based classification was investigated previously in Verma and Rahman (2012), and later adopted in Tasnim et al. (2017) as cluster-based regression.
The effect of the number of loci genotyped on outcome classification was investigated in a regression model of predictors of recrudescence within all recurrences.
Furthermore, the association between serum concentrations of the analyzed organo-chlorinated compounds and the stage of the disease (according to the revised ASRM classification) was investigated.
Of them, 3282 (2.87 %) of the unigenes were simultaneously annotated by all databases.> To further analyze the BLAST results in Nr database, similarities distribution, E-value distribution, best-hit species distribution, and best-hit species classification were investigated.
The efficiency in using the transformed dataset to perform normal/tumor classification was investigated using feature partitioning with informative features (gene annotation) as discriminating axes (single gene expression or pair-wise gene expression ratio).
Differences among subclasses defined according to the WHO classification were investigated in the 29 samples for which data were obtained in the first experiment (15 WDEC, 11 PDEC and 3 MEET samples) using the ANOVA test, and they were not statistically significant for CAG-, Cand and CAG-/CAG+ CYYR1 isoform expression levels.
