M. Mahfouf

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Many synergisms have been described in the past between soft computing techniques such as Neural Networks (NN), Fuzzy Logic (FL) and Genetic Algorithms (GA) which have not only shown that such hybrid structures can work well but also add more robustness to the control system under consideration. In this paper, a new control architecture is proposed whereby(More)
This paper presents a modelling design framework and results for human participants undergoing mental stress. A mental stressful scenario is achieved while participants perform operations in a simulated control process on an automation-enhanced Cabin Air Management System simulator. Recordings from a previous experiment using psychophysiological markers(More)
This study aims at designing a modelling architecture to deal with the imbalanced data relating to the production of rails. The modelling techniques are based on Support Vector Machines (SVMs) which are sensitive to class imbalance. An internal (Biased Fuzzy SVM) and external (data under-sampling) class imbalance learning methods were applied to the data.(More)
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