The aim of this study is to introduce a new methodology for isolation of ectopic rhythms of ambulatory electrocardiogram (ECG) holter data via appropriate statistical analyses imposing reasonable computational burden. First, the events of the ECG signal are detected and delineated using a robust wavelet-based algorithm. Then, using Binary Neyman-Pearson Radius test, an appropriate classifie...

Currently, some coffee production centers still perform classification manually, which requires a very long time, lot of labor, and expensive operational costs. Therefore, the purpose this research was to design test performance bean classifier that can accelerate process classifying beans. The used consisted three main parts, namely frame, driving force, sieves. parameters included work capaci...

Classifier performance evaluation is an important step in designing diagnostic systems. The purposes of performing classifier performance evaluation include: 1) to select the best classifiers from the several candidate classifiers, 2) to verify that the classifier designed meets the design requirement, and 3) to identify the need for improvements in the classifier components. In order to effect...

We compare the performance of a Bayesian classifier against humans in a same/different speech perception task. The classifier is trained on different sizes of speech segments to separate sounds into perceptually equivalent and nonequivalent categories. We test the classifier with pairs of speech sounds of various sizes and compare its performance with perceptual listening tests on native speake...

current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. application of the intelligent system for fault direction classification has been suggested in this paper. a new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. the proposed classifier uses ...