Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (R...
Marios S. Pattichis, Harini Muralidharan, Constant...
Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. ...
Inaccuracies, or deviations, in the measurements of monitored variables in a control system are facts of life that control software must accommodate. Deviation analysis can be used...
Mats Per Erik Heimdahl, Yunja Choi, Michael W. Wha...
The World Wide Web, initially intended as a way to publish static hypertexts on the Internet, is moving toward complex applications. Static Web sites are being gradually replaced ...