Goker, H. 2023. Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model. PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE , vol.46, no.3 , 1163-1174.

Goker, H., (2023). Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model. PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE , vol.46, no.3, 1163-1174.

Goker, HANİFE. "Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model," PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE , vol.46, no.3, 1163-1174, 2023

Goker, HANİFE. "Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model." PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE , vol.46, no.3, pp.1163-1174, 2023

Goker, H. (2023) . "Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model." PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE , vol.46, no.3, pp.1163-1174.

@article{article, author={HANİFE GÖKER}, title={Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model}, journal={PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE}, year=2023, pages={1163-1174} }