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Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection

Electroencephalography (EEG) serves as a diagnostic technique for measuring brain waves and brain activity. Despite its precision in capturing brain electrical activity, certain factors like environmental influences during the test can affect the objectivity and accuracy of EEG interpretations. Chal...

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Principais autores: Dejan Pilcevic, Milica Djuric Jovicic, Milos Antonijevic, Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Miroslav Dragovic, Petar Bisevac
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2023-11-01
Serier:Frontiers in Physiology
Fag:
RNN
EEG anomaly detection
metaheuristics optimization
time series prediction
sine cosine algorithm
Online adgang:https://www.frontiersin.org/articles/10.3389/fphys.2023.1267011/full
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