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We could see that the "metabolic health" criteria in various studies were as follows: insulin sensitivity of the tissues measured by different methods and techniques, absence of the metabolic syndrome criteria based on diverse classifications, complete absence of any metabolic disorders, and, finally, at least 2 CVD risk factors [ 5– 13].
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Several research fields frequently deal with the analysis of diverse classification results of the same entities.
On the other hand, a similar study showed that all clinical outcomes were better predicted when integrating multi-layers of genomic data [ 20] using a graph-based algorithm while others suggest that the clinical improvement of genomic data is limited in magnitude and on cancer types [ 21] using diverse classification algorithms.
Therefore, we propose the multi-column ELM-AE algorithm, which performs multiple ELM-AEs with different numbers of the hidden nodes on the same sound frame to generate diverse classification results.
We also discuss the advantages and disadvantages of each category under diverse classification criterion.
The "diverse" classification has 209 contigs with βN greater than 3.5 × 10-3.
The proposed measures and classification models were evaluated on the basis of computer experiments which were carried out on diverse set of benchmark datasets.
Students and professionals collaborate on diverse repertory.
The experimental results on diverse time series data sets demonstrate that our proposed representation significantly outperforms the original SAX representation and an improved SAX representation for classification.
during growth on diverse wood components.
There were reported a diverse of classification precisions for epileptic EEG data.
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