Sentence examples for exceptional classification from inspiring English sources

These methods were validated on data gathered from an experimental gearbox and motor apparatus operating at variable speeds; the results indicate a high degree of separability between data from healthy and faulted states providing exceptional classification error.

The exceptional classification performance (~99.5% average classification ratios) and excellent stability suggest this algorithm a great potential to facilitate mass spectral proteomics into a clinical routine, even if data reproducibility is not guaranteed.

The DCA-SVM 's exceptional classification accuracies suggest the serum proteomics data's linear separability and further inspire DCA-MARK, a DCA-induced biomarker discovery approach, which in turn demonstrate high-dimensional proteomics data 's linear separability with few biomarkers.

"Even if it starts raining, it's going to take so long for the land to recover" At the moment, 70 percent of Texas is experiencing "exceptional drought" — the worst classification — along with 55 percent of Oklahoma and significant chunks of Louisiana, New Mexico and Kansas.

It is interesting to find the MICA-based methods can be also applied to achieve exceptional gene expression pattern classification and meaningful biomarker discovery [ 22].

On Thursday, 58percentt of California was declared under exceptional drought, the most severe classification and a shocking 22percentt increase from the previous week.

Additionally, in California and Oklahoma, 25%and30%0% of the states, respectively, suffered from exceptional drought, the highest severity classification.

In other words, the identified mass spectral biomarkers may lose their reusability and predictability, even if they can achieve exceptional sensitivity and specificity in classification.

The choice of recipes is determined by a classification scheme of the exceptional points.

The ChEBI database has a strong focus on quality with exceptional efforts afforded to IUPAC nomenclature rules, classification within the ontology and best IUPAC practices when drawing chemical structures.

The primary outcome measure was the classifiability of all the identified anomalies reported as exceptional and 'not classifiable' according to the AFS classification system, into a specific class and/or subclass of the novel ESHRE/ESGE classification system.