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Filtres: Auteur est Abd El Salam Hajjar  [Clear All Filters]
Article
Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P., "Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN". Analog Integrated Circuits and Signal Processing. 2018.
Communications avec actes
Abdallah, N., Chauvet P., Hajjar A E S. et Daya B., "Optimized Brain Computer Interface System for Unspoken Speech Recognition: Role of Wernicke Area". ICBCIB 2018 : 20th International Conference on Brain-Computer Interfaces in Biomedicine. 26/03/2018. [s.l] : World Academy of Science, Engineering and Technology, 2018. World Academy of Science, Engineering and Technology International Journal of Biomedical and Biological EngineeringIcône PDF fichier-96-2765-946-.pdf (1.7 Mo)
Hajjar, Y. A., Hajjar A E S., Daya B. et Chauvet P., "Predication of premature neonates prognosis based on their electroencephalogram using artificial neural network". 2015 SAI Intelligent Systems Conference (IntelliSys). 10/11/2015. London, UK : [s.n] , 2015, p. 527 - 531