Electroencephalographic (EEG) based Deep Learning (DL): A Comparative Review

Electroencephalographic (EEG) based Deep Learning (DL): A Comparative Review

Deep learning (DL) has recently shown great promise in supporting knowledge of electroencephalographic (EEG) as a result of its ability to discover visual features (feature representation) from original (raw) data. This review will look at the latest developments in the research area of the EEG by...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Riyadh Salam Mohammed, Ammar A. Al-Hamadani
Format:	Artykuł
Język:	English
Wydane:	Al-Iraqia University - College of Engineering 2023-03-01
Seria:	Al-Iraqia Journal for Scientific Engineering Research
Hasła przedmiotowe:	Electroencephalogram, Deep learning, convolution Neural Networks, Datasets, stimuli
Dostęp online:	https://ijser.aliraqia.edu.iq/index.php/ijser/article/view/59

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