Atualmente, a equação de Archard é a mais utilizada no estudo do desgaste para cargas
constantes. Esta equação permite determinar o volume de desgaste, a partir da carga normal …

In many real-world applications data arrive continuously, in the form of streams. Such data
can be used for the acquisition of knowledge by machine learning methods. In data streams …

In many real-world applications data arrive continuously, in the form of streams. Such data
can be used for the acquisition of knowledge by machine learning methods. In data streams …

Elections are complex activities fundamental to any democracy. The contextualized analysis
of election data allows us to understand electoral behavior and the factors that influence it. …

Nos últimos anos, presencia-se o advento de sistemas capazes de gerar uma imensa
quantidade de dados em um curto espaço de tempo e aplicações podem ser encontradas em …

Since 1989, the first year of the democratic presidential election after a long period of a
dictatorship regime, Brazil conducted eight presidential elections. Short and long-term shifts of …

Novelty detection is an important topic in data stream classification, as it is responsible for
identifying the emergence of new concepts, new patterns, and outliers. It becomes necessary …

In data stream learning, classification is a prominent task which aims to predict the class labels
of incoming examples. However, in classification, most of the approaches from literature …

Since 1989, the first year of the democratic presidential election after a long period of a
dictatorship regime, Brazil conducted eight presidential elections. This period was marked by …

In many real-world applications, data arrive sequentially in the form of streams. Processing
such data poses challenges to machine learning. In data streams learning, classification …