Automated EEG-based language detection using directed quantum pattern technique
Article
Article Title | Automated EEG-based language detection using directed quantum pattern technique |
---|---|
ERA Journal ID | 17759 |
Article Category | Article |
Authors | Dogan, Sengul, Tuncer, Turker, Barua, Prabal Datta and Acharya, U.R. |
Journal Title | Applied Soft Computing |
Journal Citation | 167 (Part A) |
Article Number | 112301 |
Number of Pages | 19 |
Year | 2024 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 1568-4946 |
1872-9681 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.asoc.2024.112301 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1568494624010755 |
Abstract | Electroencephalogram (EEG) signals contain complex useful information about brain activities. These EEG signals are noisy, highly varying and nonstationary in nature. Hence, extracting meaningful information from these signals is challenging. The existing machine learning systems struggle to capture the minute changes from the signals and yield high performance. |
Keywords | Directed quantum pattern; EEG language detection; LOSO CV; T classification; Self-organized feature engineering |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460203. Evolutionary computation |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Firat University, Turkey |
School of Business | |
School of Mathematics, Physics and Computing |
https://research.usq.edu.au/item/zv06q/automated-eeg-based-language-detection-using-directed-quantum-pattern-technique
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