This paper presents a new Fast Kurtogram Method in the time-frequency domain using novel types of statistical features instead of the kurtosis. For this study, the problem of four classes for Bearing Fault Detection is investigated using various statistical features. This research is conducted in four stages. At first, the stability of each feature for each fault mode is investigated. Then, res...

this paper reports the results of a study designed to investigate the interrelationship of foreign language reading anxiety (flra), reading proficiency (rp) and text feature awareness (tfa). the aim was to focus on how foreign language reading anxiety and text feature awareness are related and how, in turn, they affect students reading proficiency. that is, it south to determine how these three...

since most common form of cervical cancer starts with pre-cancerous changes, a flawless detection of these changes becomes an important issue to prevent and treat the cervix cancer. there are 2 ways to stop this disease from developing. one way is to find and treat pre-cancers before they become true cancers, and the other is to prevent the pre-cancers in the first place. the presented approach...

in this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fmri) data. in the preprocessing step, the number of fmri time points is reduced using principal component analysis (pca). then, independent component analysis (ica) is used for further data analysis. it estimates independent components (ics) of...

different approaches have been proposed for feature selection to obtain suitable features subset among all features. these methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. the objective functions are divided into two main groups: filter and wrapper methods.  in filter methods, features subsets are selected due to some measu...

introduction: content based image retrieval (cbir) is a method of image searching and retrieval in a  database. in medical applications, cbir is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. as the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

objectives: genetic polymorphism interactions are among the important factors in affliction with complex diseases like alzheimer’s disease. the important goal of genetic association studies is to identify a combination of polymorphisms and measure their importance in increasing the risk of occurrence of such diseases. in this study, feature selection approach of logic regression was used to ide...

a full investigation into the features extracted from voice signals of people with and without parkinson’s disease was performed. a total of 31 people with and without the disease participated in the data collection phase. their voice signals were recorded and processed. the relevant features were then extracted. a variety of feature selection methods have been utilized resulting in a good perf...