In this article, we propose a recent iterative learning algorithm for sensor data fusion to detect pitch actuator failures in wind turbines. The development of this proposed approach is based on iterative learning control ...

Comprehensive monitoring of NO2 exceedances is imperative for protecting human health, especially in urban areas with traffic. However, an accurate spatial characterization of the exceedances is challenging due to the ...

Numerical simulation of industrial plastic deformation processes needs of a precise characterization of the mechanical material properties included in the particular elastoplastic model. The plasticity model of bulk metallic ...

Obtaining the right set of data for evaluating the fulfillment of different quality factors in the extract-transform-load (ETL) process design is rather challenging. First, the real data might be out of reach due to different ...

Implement, test and dimension of a connector to receive large datasets of both meteorological and pollution data provided by a third party, that currently performs meteorological forecasting and pollution patterns.

The field of reinforcement learning, developed during the nineteen-eighties and nineties, is a branch of machine learning which has consistently shown wide potential. Using this theory, it is possible to design computer ...

Cities are experiencing unparalleled growth and facing new challenges as they endeavour to become healthier, more sustainable and safer places for citizens to live and work. One such challenge arises in urban mobility and ...

Context: Colombia over the last decade has experienced a historic economic boom and Information Technology (IT) has been emerging as a tool to enable the competitiveness of companies. The last government (2014–2018) took ...