The steelmaking industry is one of the most energy-intensive industries and is responsible
for 4% of the world's total greenhouse gas emissions. Solutions to improve operational …

A mathematical model for the numerical determination of the quality indicator value allowing
one to obtain non-dimensional values in the range from minus infinity to 1 (the maximum …

This article demonstrates the use of data mining methods for evidence-based smart decision
support in quality control. The data were collected in a measurement campaign which …

Non-metallic inclusions, especially large or clustered inclusions, in steel are usually harmful.
Thus, the microscopic analysis of test specimens is an important part of the quality control …

This article presents a statistical prediction model-based intelligent decision support tool for
center line deviation monitoring. Data mining methods enable the data driven …

A necessidade de melhoria do processo industrial da laminação de metal de forma a
otimizar o tempo de entrega de um produto ao cliente foi o ponto de partida da idealização …

The Finnish waterworks industry is on the brink of digitalization. Currently, many of them
have started to convert their water meters to smart water meters. However, there is yet no …