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Modeling of the electric perturbations in urban lighting networks by Machine Learning techniques

Abstract: The project dealt with the elaboration of a mathematical algorithm for prediction of the perturbation generated in the electric currents in urban lighting networks by regulation devices.  These regulators are used to diminish the light intensity at late night hours. However, the theoretical savings in electric energy are limited by the electric perturbations produced …

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Modeling of the facial recognizing distance by Machine Learning techniques

Abstract: The project dealt with the elaboration of a mathematical algorithm for determination of the facial recognizing distance in urban streets. The algorithm was implemented in an app to find the most secure paths to move in towns by night. Several Machine learning techniques were used to approximate the data of facial recognizing provided by …

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