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The VOP-ELM achieves the classification rates of 97.30%, 98.19%, and 98.68% by using the linear, sigmoid, and Gaussian kernels, respectively.
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None of the present magnetic separators is capable of achieving the classification of particles according to their magnetic susceptibility.
In addition, we achieved the classification and reuse of the catalyst particles contained in waste liquid according to their activity.
We used a supervised approach with the goal of reviewing the best techniques that should be useful for achieving the classification with the lowest error.
But when they have developed a system based on the MEEI dataset and then they have used it for classifying of the PdA dataset as the test set, they have achieved the classification accuracy of 78.14%.
In Fig, 3, our method gMSV can achieve the classification accuracy as high as 97.16% on the fMRI dataset, which is significantly better than the union of other subgraph-based features and side view features.
At 512 msec, the classification method achieves the best classification accuracy.
While with the feature selection algorithm mRMR and IG, the total classification accuracy of WSVM achieves the best classification accuracy.
First, the proposed method achieves the highest classification accuracy.
It can be concluded that Hidost achieves the excellent classification performance of its predecessor, SL2013, on PDF data.
Obviously, the proposed LLDC method achieves the best classification performance when k LDV=35 while using LSC coding scheme for ICPR 2012 dataset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com