Ridouh A., Boutana D., Bourennane S. (2020). EEG Signals Classification Using Support Vector Machine, Advanced Science, Engineering and Medicine Journal. 12 N 02, 215–224. Doi: https://dx.doi.org/10.1166/asem.2020.2490.

Ridouh A., Boutana D., Bourennane S. (2018). Features Extraction Using Wavelet Analysis of Normal and Abnormal Electroencephalogram Signals. Advanced Science, Engineering and Medicine 10 N 09, pp. 857-865. Doi : https://doi.org/10.1166/asem.2018.2259.

Ridouh A., Boutana D., Bourennane S. (2017). EEG signals classification based on time frequency analysis. Journal of Circuits, Systems and Computers. 26 N° 12, pp. 1750198. Doi : https://doi.org/10.1142/S0218126617501985.

Ridouh A., Boutana D., Benidir M. (2017). Comparative Study of Time Frequency Analysis Application on Abnormal EEG Signals. In: Chadli M., Bououden S., Zelinka I. (eds) Recent Advances in Electrical Engineering and Control Applications. ICEECA 2016. Lecture Notes in Electrical Engineering, vol 411. Springer, Cham, pp. 355–368. https://doi.org/10.1007/978-3-319-48929-2_28

Ridouh A., Boutana D., Benidir M. (2016). Comparative Study of Time Frequency Analysis Application on Abnormal EEG Signals. Proceding on Recent Advances in Electrical Engineering and Control Applications. DOI: https://doi.org/10.1007/978-3-319-48929-2_28.

Ridouh A., Ferrat K., Boutana D. (2022). Time-Frequency Analysis of some Pathological Arabic Speech Signals, Fifth International Conference on Electrical Engineering And Control Applications ICEECA’22 – University of Khenchla.

Ridouh A., Boutana D., Benidir M. (2014). Comparative Study of Time Frequency Analysis Application on Abnormal EEG Signals. The Second International Conference on Electrical Engineering and Control Applications ICEECA’2014 – University of Constantine.

Ridouh A., Boutana D., Benidir M. (2014). Characterization of Some EEG Signal in Time Frequency Domain. International Congress on Telecommunication and Application ICTA’2014 – University of Bejaia.