Mohamad Darwiche

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The goal of the present study was to develop and evaluate machine learning algorithms for the prediction of blood transfusion donation. The machine learning algorithms studied included multilayer perceptrons (MLPs) and support vector machines (SVMs). The methods were evaluated retrospectively in a group of 600 patients and validated prospectively in a group(More)
We propose in this paper an approach whose main objective is to detect disturbances that affect an electric power signal. The method allows us to locate the time occurrence of these disturbances. The signal processing consists of determining two distributions that are based on the energy of the wavelet signal decomposition: the deviation distribution and(More)
This work focuses on acoustic emission analysis of mechanisms damage in fiber composite materials, subjected to heavy loads during a creep test. The goal of the present study was to develop and evaluate machine learning algorithms for the prediction of material rupture with creep test by traction method. This study aimed to predict if a tensile specimen(More)
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