[EN] The upcoming avenue of IoT, with its massive generated data, makes it really hard to train centralized systems with machine learning in real time. This problem can be addressed with learning-based edge computing systems ...

[EN] In this paper, we present an aspect-based sentiment analysis system that allows to automatically extract the characteristics of an opinion and to determine their associated polarity. The proposed system is based on a ...

[ES] La endoscopia capsular (CE) es una ampliamente utilizada alternativa mínimamente invasiva a la endoscopia tradicional, que permite la visualización de todo el intestino delgado, mientras no es posible hacerlo fácilmente ...

This article presents a comparative study of the performance of classification techniques used for fault diagnosis in industrial processes. The techniques studied ranging from classifiers based on Bayes theory as Maximum ...

Torsional analysis of the lower extremities has become an integral part of the decisionmaking process in treating neuromuscular problems. Solid knowledge of normal development of torsional relationships is essential for ...

[EN] This study presents an analysis of three models associated with artificial intelligence as tools to forecast the generation of urban solid waste in the city of Bogota, in order to learn about this type of waste's ...

[EN] This paper presents a support vector machine classifier for broken bar detection in electrical induction machine. It is a reliable online method, which has high robustness to load variations and changing operating ...