Ceramic and tile industries should indispensably include a grading stage to quantify the
quality of products. Actually, human control systems are often used for grading purposes. An …

Abstract k-Nearest neighbor (KNN) rule is a very simple and powerful classification
algorithm. In this article, we propose a new KNN-based classifier, called the local mean …

A vital aspect of the Multiple Classifier Systems construction process is the base model
integration. For example, the Random Forest approach used the majority voting rule to fuse …

Mixture of Experts is one of the most popular ensemble methods in pattern recognition
systems. Although, diversity between the experts is one of the necessary conditions for the …

In order to improve the classification performance of a single classification model, Multiple
Classifier Systems (MCS) are used. One of the most common techniques utilizing multiple …

Nowadays, brain signals are employed in various scientific and practical fields such as
Medical Science, Cognitive Science, Neuroscience, and Brain Computer Interfaces. Hence …

Abstract K-Nearest Neighbor (KNN) is a widely used method for both classification and
regression cases. This algorithm, known for its simplicity and effectiveness, relies primarily …

This paper explores a different method used for market analysis in the Forex stock market.
Various econometric models, moving averages, technical indicators, and machine learning …

Purpose This paper aims to demonstrate how to make emergency decision when decision
makers face a complex and turbulent environment that needs quite different decision …

Resumo SALLES, Charles Giovane de. Sistema de Aprendizagem de Máquina Distribuído
utilizando o VCube. Orientador: Dr. André Luiz Brun. 2024. 80f. Dissertação (Mestrado em …