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- Mohamed Yasser Bounnite, Abdelaziz Nasroallah
- Monte Carlo Meth. and Appl.
- 2015

- Abdelali Joumad, Abdelaziz Nasroallah
- 2011

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)

Standard Monte Carlo simulation needs prohibitive time to achieve reasonable estimations. for untractable integrals (i.e. multidimensional integrals and/or intergals with complex integrand forms). Several statistical technique, called variance reduction methods, are used to reduce the simulation time. In this note, we propose a generalization of the well… (More)

- Abdelaziz Nasroallah
- RAIRO - Operations Research
- 2000

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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