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In this paper, a model has been proposed for classification using bat algorithm to update the weights of a Functional Link Artificial Neural Network (FLANN) classifier.
Over-sampling methods based on Synthetic Minority Over-sampling Technique (SMOTE) have been proposed for classification problems of imbalanced biomedical data.
Furthermore, a 12-locus MIRU scheme, based on the minimum spanning tress (MST) method, has been proposed for classification of M. tuberculosis complex genotypic lineages [ 127].
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In this paper, a tentative conceptual model is proposed for classification of stability factors in formal STCNs.
In this work, the analytic intrinsic mode functions (AIMFs) based features are proposed for classification of electroencephalogram (EEG) signals of different MI tasks.
Based on these parameters, which rely on a simple biomechnical model, a posture cost function was proposed for classification of the sitting posture.
A practical and efficient oil modification index (OMI) was proposed for classification of oil in terms of its effect on the binder performance grade.
In this article, a multiclass least-square support vector machine (LS-SVM) is proposed for classification of different facial gestures EMG signals.
Genetic algorithms (GAs) based evolutionary strategy is proposed for classification problems, which includes two aspects: evolutionary selection of the training samples and input features, and evolutionary construction of the neural network classifier.
Numerous classification algorithms have been proposed for subgroup classification [ 21– 25].
In this paper, a classification scheme based on a one-class KPCA model ensemble has been proposed for the classification of medical images.
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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