M. Mahfouf

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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)
Due to the interactions between the control channels, it is not an easy task to express the control strategies in the form of related multi-situations to multi-actions control fuzzy rules. Decoupled control is one answer to this problem. It separates the control task into two types: one is the dominating controller applied to fulfil the tracking task of a(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 undersampling) class imbalance learning methods were applied to the data.(More)
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)
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