After obtaining the represented of time sequence, an extreme learning machine is utilized for classification.
In this paper, the simulated size number (SS N) fractal model, which is an extension of the number size (N S) fractal model, was utilized for classification of parts of the Zaghia iron deposit, located near Bafq City in Central Iran, based on borehole data.
In many computer vision and image analysis applications, the texture of an object is an important property that can be utilized for classification or segmentation procedures.
In all experiments, the k-nearest neighborhood (KNN) classifier with Euclidean distance and k = 5 is utilized for classification after feature selection.
Because of their self-training capability, neural networks [12, 14, 17 20] and adaptive neurofuzzy inference systems [21] have also been utilized for classification of normal events and seizure events by analyzing the spectra and/or the complexity of the EEG recordings.
These intrinsic kinetic properties of lung absorption/permeability can be reasonably studied using in vitro lung epithelial cell monolayer systems, such as Calu-3 cells (Forbes & Ehrhardt 2005; Mathia et al. 2002), in a manner similar to how the Caco-2 cell system is utilized for classification of intestinal absorption.
There are various types of models that can be utilized for classification.
There are various efficient machine learning methods, which due to their relatively better performances in various fields of research are utilized for embryo classification.
These three classifiers are utilized for other classification tasks like emotion recognition from text and twitter's text categorizations.
Zhou and her colleagues have introduced a technique called second-order correlation analysis in which the pair-wise correlations of genes are utilized for the functional classification of genes [15].
For obtaining the complete fault information on the transmission line, a fault location technique has been presented which does not require any additional information beyond the synchrophasor measurements that are utilized for fault detection and classification.
