Slami Saadi

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The aim of this work is the application of optimal control for the system of ordinary differential equations modeling a tuberculosis disease with exogenous reinfection. Seeking to reduce the infectious group by the reduction of the contact between infectious and exposed individuals, we use control representing the prevention of exogenous reinfection. The(More)
Image restoration step is important in many image processing applications. In this work, we attempt to restore radiological images degraded during acquisition and processing. Details of the work, carried out to optimize a Neural Network (NN) for identifying an AutoRegressive Moving Average (ARMA) model used for nonlinearly degraded image restoration, are(More)
In this work, we present a mixed software/hardware The basic motivation of our application to radio isotopic images and neutron tomography projections is to reduce the data volume and to achieve a low bit rate in the digital representation images without perceived loss of image quality. The system is designed to be integrated as an extension to the nuclear(More)
—In this paper a new methodology is presented for restoring radiological images degraded during acquisition and processing. Details of the work, carried out to optimize a neural network (NN) for identifying an autoregressive moving average (ARMA) model used for nonlinearly degraded image restoration, are presented in this paper. The degraded image is(More)
This paper proposes a novel approach based on swarm intelligence and foraging behavior of Escherichia coli Bacteria in the human intestine for enhancing neutron radiography projections blurred during acquisition by the high neutron flux and noise contaminated due to Gamma radiations. This approach uses the total variation (TV) optimization to solve an(More)