Algarni, M.; Saeed, F.; Al-Hadhrami, T.; Ghabban, F.; Al-Sarem, M.
Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM). Sensors 2022, 22, 2976.
https://doi.org/10.3390/s22082976
AMA Style
Algarni M, Saeed F, Al-Hadhrami T, Ghabban F, Al-Sarem M.
Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM). Sensors. 2022; 22(8):2976.
https://doi.org/10.3390/s22082976
Chicago/Turabian Style
Algarni, Mona, Faisal Saeed, Tawfik Al-Hadhrami, Fahad Ghabban, and Mohammed Al-Sarem.
2022. "Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)" Sensors 22, no. 8: 2976.
https://doi.org/10.3390/s22082976
APA Style
Algarni, M., Saeed, F., Al-Hadhrami, T., Ghabban, F., & Al-Sarem, M.
(2022). Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM). Sensors, 22(8), 2976.
https://doi.org/10.3390/s22082976
