@inproceedings{57850421e7c641d1b1ca8a11f5e5b519,
title = "Adaptive Simulation of Separate Factors in the Alexandridis Wildfire Model",
abstract = "This paper provides a concise and comprehensive analysis of forest fire spread simulation. The Alexandridis model was implemented and enhanced utilizing stochastic methods in a Python environment. The impact of various factors influencing fire spread was individually studied. Results were empirically analyzed based on model-generated images, addressing the lack of real fire data. Multiple scenarios and parameter values were explored, highlighting the effectiveness of the developed method. In summary, this paper provides a concise and comprehensive analysis of forest fire spread simulation, demonstrating the efficacy of the Alexandridis model. Findings suggest the potential for developing a more effective model to combat forest fires and improve prediction and prevention methods.",
keywords = "cellular automata, forest-fire, simulation, stochastic model",
author = "Isabella Papageorgiou and Nuno Fachada and Markos Avlonitis and Matos-Carvalho, {Joao P.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 8th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2024 ; Conference date: 05-07-2024",
year = "2024",
month = jul,
day = "5",
doi = "10.1109/yef-ece62614.2024.10625361",
language = "English",
series = "2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "31--38",
booktitle = "Proceedings - 8th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2024",
address = "United States",
}