During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...

This paper aims to apply concepts and techniques of machine learning in the area of predictive maintenance in mechanical engineering. Several software has been developed to assist in extracting information from the large ...

The purpose of this paper is to explore machine learning techniques to forecast the oil price. In the era of big data, we investigate whether new automated tools can improve over traditional approaches in terms of forecast ...

School dropout is a constant concern of higher education institutions, with divergent and complex factors reported by various authors. We can note that this problem is quite broad and exploited, since it is possible to ...

—La iniciativa del proyecto es presentar como el aplicar modelos de Aprendizaje Automatico para identificar predictivamente ´ las instalaciones fallidas de dispositivos Puntos de venta o Point of sales por sus siglas ...

Exitosas empresas invierten millones de dólares en estrategias de marketing con el fin de traer nuevos clientes; pero en la ejecución de estas estrategias se pueden presentar un resultado inesperado. Se propone la ...