Data preparation occupies the majority of data science, about 60–80%. The process of data
preparation can produce an accurate output of information to be used in decision making …

Anomaly detection attempts to identify abnormal events that deviate from normality. Since
such events are often rare, data related to this domain is usually imbalanced. In this paper …

A current big challenge for developed or developing countries is how to keep large-scale
transportation infrastructure networks operational under all conditions. Network extensions …

Non-neural machine learning (ML) and deep learning (DL) are used to predict system
failures in industrial maintenance. However, only a few studies have assessed the effect of …

Nowadays, the general interest in Machine Learning (ML) based solutions is increasing.
However, to develop and deploy a ML solution often requires experience and it involves …

Abstract With Industry 4.0, companies must manage massive and generally imbalanced
datasets. In an automotive company, the lots release decision process must cope with this …

Os atuais ambientes de produção são pressionados para obter uma variedade crescente de
produtos personalizados e de alta qualidade em lotes muito flexíveis. A elevada dinâmica …

Os atuais ambientes de produção são pressionados para obter uma variedade crescente de
produtos personalizados e de alta qualidade em lotes muito flexíveis. A elevada dinâmica …