The analysis of data from sensors in structures subjected to extreme conditions such as the
ones used in smelting processes is a great decision tool that allows knowing the behavior of …

The Colombian mining industry has witnessed significant growth. Depending on the scale
and mineral extracted, complex chemical mixtures are generated, impacting the health of …

Structural health monitoring (SHM) in an electric arc furnace is performed in several ways. It
depends on the kind of element or variable to monitor. For instance, the lining of these …

The world steel industry is highly dependent on the use of electric arc furnaces (EAFs). The
application of the electric arc phenomenon causes many power quality (PQ) problems, such …

Being able to predict future temperatures on the wall lining is key when controlling and
scheduling maintenance for large industrial smelting furnaces. In this paper, we propose …

Plural long short-term memory (pLSTM) with sparse model (SM) has been implemented in a
developed multiple current-voltage (MCV) system (called pLSTM-SM-MCV) for the a …

Spatio-temporal void fraction in air-water two-phase flow regime transitions has been
visualized by combination of convolutional neural network and long short-term memory …

En el presente documento se detalla el flujo de trabajo llevado a cabo para el desarrollo de
modelos de aprendizaje profundo para la estimación de temperatura de pared media en …