Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the P...
Abstract. We demonstrate that it is possible to achieve accurate localization and tracking of a target in a randomly placed wireless sensor network composed of inexpensive componen...
Radhika Nagpal, Howard E. Shrobe, Jonathan Bachrac...
The verification of industrial systems specified with CSP often implies the analysis of many concurrent and synchronized components. The cost associated to these analyses is usu...
Marisa Llorens, Javier Oliver, Josep Silva, Salvad...
We present a discrete simulation model for software projects which explicitly takes a scheduling strategy as input. The model represents varying staff skill levels, component coup...