Open Access
Research Article·pp. 2043–2052·Vol. 47, Issue 5-BMay 2026
Age prediction on EEG signals via hybrid feature engineering approach
Wanus Srimaharaj, Neeta N. Thune, Supansa Chaising, A. B. Kanwade, G. S. Gawande
Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2295
In this paper: This study proposes a Gaussian Process Regression (GPR) model with a custom composite kernel for age prediction from normal electroencephalogram (EEG) signals. Using the TUH Abnormal EEG Corpus from t...
