نتایج جستجو برای: statistical variability

تعداد نتایج: 533019  

Journal: :Monthly Notices of the Royal Astronomical Society 2022

ABSTRACT Blazars optical emission is generally dominated by relativistic jets, although the host galaxy, accretion disc, and broad-line region (BLR) may also contribute significantly. Disentangling their contributions has been challenging for years due to dominance of jet. To quantify spectral variability, we use statistical technique dimensionality reduction non-negative matrix factorization o...

Journal: :Khulna University studies 2022

This paper investigates the correlation and coefficient of variation to find variability rainfall during monsoon over Bangladesh from 1951 2000. Twenty nine stations have been considered in six divisions distributed all this study. Chittagong Khulna experienced highest lowest average respectively study period. The high low stability occur Sylhet 50 years.

Journal: :Intelligent Automation & Soft Computing 2004
N. Kannathal U. Rajendra Acharya Choo Min Lim P. K. Sadasivan S. Sitharama Iyengar

The electrocardiogram (ECG) is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks etc. may contain useful information about the nature of disease afflicting the heart. However, these subtle details can not be directly monitored by the human observer. Besides, since bio-signals are ...

2003
Spela Ivekovic Ales Leonardis

Structural variability present in biomedical images is known to aggravate the segmentation process. Statistical models of appearance proved successful in exploiting the structural variability information in the learning set to segment a previously unseen medical image more reliably. In this paper we show that biomedical image segmentation with statistical models of appearance can be improved in...

Journal: :EURASIP J. Adv. Sig. Proc. 2012
Mostefa Mesbah M. Balakrishnan Malarvili Paul B. Colditz Boualem Boashash

This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to assess whether additional information extracted from ECG can improve the performance of seizure detectors based solely on EEG. Two different approaches were used to combine thi...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید