ROBUSTNESS EVALUATION OF MACHINE LEARNING ALGORITHMS FOR NEUROCOMPUTER INTERFACE SOFTWARE USING DISTRIBUTED AND PARALLEL COMPUTING

This article highlights the field of information technology for brain-computer interaction, and the main goal is to use it to determine patterns of human brain activity using electroencephalography (EEG) data. During the execution of the article, machine learning methods were used, namely such class...

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Bibliographic Details

Published in:	Computer systems and information technologies no. 2; pp. 82 - 88
Main Authors:	BRYK, Oleksandr, STEFANYSHYN, Ivan, STEFANYSHYN, Volodymyr, PASTUKH, Oleh
Format:	Journal Article
Language:	English
Published:	27.06.2024
ISSN:	2710-0766, 2710-0774
Online Access:	Get full text
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