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Filtres: Auteur is Abd El Salam Hajjar  [Clear All Filters]
2018
Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P. (2018).  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, 10.1007/s10470-018-1129-1.
Abdallah, N., Chauvet P., Hajjar A E S. et Daya B. (2018).  Optimized Brain Computer Interface System for Unspoken Speech Recognition: Role of Wernicke Area. Dans World Academy of Science, Engineering and Technology International Journal of Biomedical and Biological Engineering : ICBCIB 2018 : 20th International Conference on Brain-Computer Interfaces in Biomedicine . World Academy of Science, Engineering and Technology. Icône PDF fichier-96-2765-946-.pdf (1.7 Mo)
Kassem, A. K., Hajjar A E S., Daya B. et Chauvet P. (2018).  A Proposed Methodology for Cyber Security Mechanism According to the Most Popular Detected Attacks for University Web Application. Dans Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) (p. 215-219)10.1109/WorldS4.2018.8611626.
2017
Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P. (2017).  Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals. International Journal of Biomedical and Clinical Engineering, 6 p. 57 - 66.
2015
Hajjar, Y. A., Hajjar A E S., Daya B. et Chauvet P. (2015).  Predication of premature neonates prognosis based on their electroencephalogram using artificial neural network. Dans 2015 SAI Intelligent Systems Conference (IntelliSys) (p. 527 - 531)