Introduction: Mental arithmetic analysis based on Electroencephalogram (EEG) signal for monitoring the state of the user’s brain functioning can be helpful for understanding some psychological disorders such as attention deficit hyperactivity disorder, autism spectrum disorder, or dyscalculia where the difficulty in learning or understanding the arithmetic exists. Most mental arithmetic recogni...

Abstract Since the number of features dataset is much higher than patterns, dimension data, greater impact on learning algorithm. Dimension disaster has become an important problem. Feature selection can effectively reduce and improve performance Thus, in this paper, A feature algorithm based P systems (P-FS) proposed to exploit parallel ability cell-like advantage evolutionary algorithms searc...

Information filters are an important class of feature selection methods. They bring together strong theoretical background, execution speed and high quality. The paper provides a brief review said methods introduces praznik, R package collecting their efficient implementations. Its functionality is discussed with illustrative example analyses on established benchmark datasets, which also demons...