Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
The potential uses of the sub-second GPSsynchronized phasor data collected from various locations within an electric power system promise endless benefits for the applications tar...
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
In this article, we propose a method of characterization of pictures of old documents based on a texture approach. This characterization is carried out with the help of a multires...
Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality. In order to apply this method, a usage m...