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Ekram Hakem

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Open access Jul 2026

Kullback-Leibler divergence for Efficient EEG Feature Selections

A new feature selection technique mainly based on the Kullback-Leibler (KL) divergence to diagnose epileptic seizures in the EEG dataset is presented, substantiated the efficacy of the proposed model as a valuable instrument for optimal feature selection in EEG data analysis.

Abdulkareem A. Al-Hamzawi, Ekram Hakem · 0 citations

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