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Filtres: Auteur is Ali Karouni  [Clear All Filters]
Article
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., 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
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.
Communications avec actes
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.
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
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.