Articles filtered by author Andrikov D.A..
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MD&IT № 3 2024
Aim. The purpose of this article is review and analyze methods for measuring cognitive load, as well as approaches to using machine learning techniques to identify EEG data.
Materials and methods. The review systematizes and summarizes the information on the topic under consideration. Scientific articles were searched in bibliographic databases: eLIBRARY, ScienceDirect, Scopus.
Results. This review focused on ways to measure the cognitive load of the brain, modern EEG recording devices, and methods...
Materials and methods. The review systematizes and summarizes the information on the topic under consideration. Scientific articles were searched in bibliographic databases: eLIBRARY, ScienceDirect, Scopus.
Results. This review focused on ways to measure the cognitive load of the brain, modern EEG recording devices, and methods...
MD&IT №2 2022
The success and wide-range applications of artificial intelligence (AI) technologies and, in particular, deep learning neural networks methods have led us to a clear understanding of two main problems: the problem of errors (the reliability problem) and the problem of explicitly explaining the decisions made by AI (the explanability problem). These problems are closely related: unexplained AI errors can happen again and again. This is completely unacceptable from the pers...