Abdelaziz Nasroallah

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In unsupervised segmentation context, we propose a bi-dimensional hidden Markov chain model (X,Y) that we adapt to the image segmentation problem. The bi-dimensional observed process Y = (Y , Y ) is such that Y 1 represents the noisy image and Y 2 represents a noisy supplementary information on the image, for example a noisy proportion of pixels of the same(More)
We consider the simulation of transient performance measures of high reliable faulttolerant computer Systems. The most widely used mathematical tools to model the behavior of these Systems are Markov processes. Here, we deal basically with the simulation ofthe mean time tofailure (MTTF) and the reliability, R(t), ofthe system at time t Some variance(More)
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