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Titre Type [ Année(Asc)]
Filtres: Auteur is Bassam Daya  [Clear All Filters]
2018
Schang, D., Chauvet P., Daya B., Jrad N. et Gibaud M. (2018).  Automatic Abnormal Electroencephalograms Detection of Preterm Infants. Journal of Data Analysis and Information Processing, 6 (04)
Jrad, N., Schang D., Chauvet P., Tich S. Nguyen The, Daya B. et Gibaud M. (2018).  Automatic Detector of Abnormal EEG for Preterm Infants. Dans Ahmed, M. Uddin, Begum S. et Fasquel J-B.(Dirs.)Internet of Things (IoT) Technologies for HealthCare (p. 82–87). Springer International Publishing.
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
Jrad, N., Schang D., Chauvet P., Daya B. et Gibaud M. (2017).  Automatic Detector of Abnormal EEG for Preterm Infants. Dans International Conference on IoT Technologies for HealthCare . Springer.
Abdallah, N., Daya B., Khawandi S. et Chauvet P. (2017).  Electroencephalographic based brain computer interface for unspoken speech. Dans 2017 Sensors Networks Smart and Emerging Technologies (SENSET) (p. 1 - 4)
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
Abdallah, N., Khawandi S., Daya B. et Chauvet P. (2017).  A survey of methods for the construction of a Brain Computer Interface. Dans 2017 Sensors Networks Smart and Emerging Technologies (SENSET) (p. 1 - 4)
Hamadeh, N., Karouni A., Daya B. et Chauvet P. (2017).  Using correlative data analysis to develop weather index that estimates the risk of forest fires in Lebanon & Mediterranean: Assessment versus prevalent meteorological indices. Case Studies in Fire Safety, 7 https://doi.org/10.1016/j.csfs.2016.12.001.
2016
Hamadeh, N., Karouni A., Daya B. et Chauvet P. (2016).  Comparative Study of Different Data Mining Techniques in Predicting Forest Fire in Lebanon and Mediterranean. Dans Bi, Y., Kapoor S. et Bhatia R.(Dirs.)Lecture Notes in Networks and Systems : Proceedings of SAI Intelligent Systems Conference (IntelliSys) (p. 747 - 762). Springer International Publishing. 10.1007/978-3-319-56994-9_51.
2014
Karouni, A., Daya B. et Chauvet P. (2014).  Applying Decision Tree Algorithm and Neural Networks to Predict Forest Fires in Lebanon. Journal of Theoretical and Applied Information Technology, 63
Karouni, A., Daya B. et Chauvet P. (2014).  Applying decision tree algorithm and neural networks to predict forest fires in Lebanon. Journal of Theoretical and Applied Information Technology, 63
Karouni, A., Hilal A., Daya B. et Chauvet P. (2014).  Reducing the Risk of Fire Danger in Lebanon Based on Predictive Analysis and Preliminary-Proactive Actions. Dans 5th International Conference on Environmental Science and Technology IPCBEE (p. 125-128). IACSIT Press. 10.7763/IPCBEE.2014.V69.24.
Knefati, M.-A., Chauvet P., Nguyen The Tich S. et Daya B. (2014).  Reference Curves Estimation Using Conditional Quantile and Radial Basis Function Network with Mass Constraint. Neural Processing Letters, 10.1007/s11063-014-9399-9.
Karouni, A., Daya B., Bahlak S. et Chauvet P. (2014).  A Simplified Mathematical Model for Fire Spread Predictions in Wildland Fires Combining between the Models of Anderson and Rothermel. International Journal of Modeling and Optimization, 4
2013
Karouni, A., Daya B. et Chauvet P. (2013).  Forest Fires Prediction: A Proposal for a new hybrid index. Dans The 3rd International Conference on Computer Science and Logistics Engineering (ICCSLE2013)-Hong Kong Conference
2012
Khawandi, S., Daya B. et Chauvet P. (2012).  Integrated monitoring system for fall detection in elderly. Dans International Conference on Audio, Language and Image Processing (ICALIP 2012) (p. 62-67). IEEE. 10.1109/ICALIP.2012.6376585.
Khawandi, S., Daya B. et Chauvet P. (2012).  Real Time Recognition of Elderly Daily Activity using Fuzzy Logic through Fusion of Motion and Location Data. International Journal of Computer Applications, 54 (3) 10.5120/8549-2109.
2011
Khawandi, S., Daya B. et Chauvet P. (2011).  Automated Monitoring System for Fall Detection in the Elderly. International Journal of Image Processing (IJIP), 4 (5)
Khawandi, S., Daya B. et Chauvet P. (2011).  Implementation of a monitoring system for fall detection in elderly healthcare. Dans World Congress on Information and Technology, WCIT 2010 (p. 216 - 220)10.1016/j.procs.2010.12.036.
Khawandi, S., Daya B. et Chauvet P. (2011).  Implementation of Intelligent Monitoring System for year Elderly. Journal of Theoretical and Applied Information Technology, 34 (1)
2010
Khawandi, S., Daya B. et Chauvet P. (2010).  Automated Monitoring System for Fall Detection in the Elderly. International Journal of Image Processing, 4
Akoum, A. Hussain, Daya B. et Chauvet P. (2010).  Automatic system recognition of Lebanese license plates. Dans IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA (p. 1399-1405)10.1109/BICTA.2010.5645286.

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