Publications des chercheurs
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(2013).
Applying Decision Tree Algorithm and Neural Networks to Predict Forest Fires in Lebanon. Journal of Theoretical and Applied Information Technology, 63(2014).
Applying decision tree algorithm and neural networks to predict forest fires in Lebanon. Journal of Theoretical and Applied Information Technology, 63(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.(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(2014).
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.(2016).
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.(2017).