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This study introduces a nonlinear cross-entropy clustering (CEC) method for classification of catchments.
In this paper, we propose a method for classification of human actions using pose based features.
So we developed a new method for classification of EGG based on DWT and ANN.
We introduce a computational method for classification of individual DNA molecules measured by an α-hemolysin channel detector.
Finally, the application of this method as a feature extraction method for classification of a dataset of feature vectors, specifically biomedical spectra, is demonstrated.
In this paper, we present a new method for classification of shipping containers X-Ray images, produced in the inspection lines.
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Aim: evaluation of the importance of minor salivary gland biopsy and sialometry, isolated or associated, as methods for classification of Sjögren's Syndrome.
The mean accuracy of the methods for classification of local data varied from 0.78 to 0.87, which as expected was less than that for the PPMI data where mean accuracies varied between 0.89 and 0.95.
The mean accuracy of the semi-quantitative methods for classification of local data into Parkinsonian and non-Parkinsonian groups varied from 0.78 to 0.87, contrasting with 0.89 to 0.95 for classifying PPMI data into healthy controls and Parkinson's disease groups.
It is not clear how to use these methods for classification of time series data.
In addition, different methods for classification of E. coli are evaluated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com