This study proposes a novel copy number variation (CNV) detection method, CNV_shape, based on variations in the shape of the read coverage data which are obtained from millions of short reads aligned to a reference sequence. The proposed method carries out two transforms, mean shift transform and mean slope transform, to extract the shape of a CNV more precisely from real human data, which are ...

Heart sounds are mainly the expressions of opening and closing heart valves. Some produced by interruption laminar blood flow as it turns into turbulent flow, which is explained abnormal functioning The analysis phonocardiographic signals has made possible to indicate that normal pathological records differ from each other concerning both temporal spectral features. present work describes desig...

In this paper, we propose the method to search the appropriate pose position for matching in invariant range image multi-pose face recognition system. The center of gravity search is used for searching pose position in range image face database (RIFD). Reference persons data base are grouped by using K-means cluster for speed up processing time. This approach is developed for implementation the...

Recently, some large-scale text dependent speaker verification systems have been tested. They show that less than 1% Equal Error Rate can be obtained on a test set score distribution. So far, the majority of impostor tests are performed using speakers who don’t really try to fool the system. This can be explained by the lack of databases recorded for this purpose, and the difficulty for a norma...

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In this study, weighted model averaging (WMA) was applied to calibrating ensemble forecasts generated using Limited-area ENsemble prediction System (LENS). WMA is an easy-to-implement post-processing technique that assigns a greater weight the member forecast exhibits better performance; it used provide probabilistic visibility forecasting in form of predictive probability density function for ...

The analysis of EEG signals plays a vital role in the detection of Seizure. The EEG signal of a normal person varies when compared to that of a seizure affected person. A new wavelet is created which closely represents a normal EEG wave. The discrete wavelet transform using the new wavelet family is applied to the input EEG signals. Since the new wavelet represents the normal EEG wave pattern t...