In this paper, we propose a fine-grained coupling metrics suite for aspect-oriented (AO) systems, to measure software changes during system evolution. We also present a correlati...
We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long tim...
Benjamin A. Carreras, David E. Newman, Ian Dobson,...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
An experiment was conducted to test the relationships between users' perceptions of a computerized system's beauty and usability. The experiment used a computerized appl...
—We present the derivation of a novel metric for the performance prediction of Wireless Sensor Networks (WSNs). In particular, the metric can be applied in, for example, monitori...