Technology presented in the paper [1] allows validation of software architecture before component upgrades. This paper presents a case study of applying this method to the upgrade ...
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used w...
We present a strategy for model-checking the correctness of service composition. We do so in the context of SRML, a formal modelling framework for service-oriented computing being ...
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...