ALGORITHM FOR USING ARTIFICIAL INTELLIGENCE IN PREDICTING FIRE DANGER  IN THE SEMEY FOREST IN KAZAKHSTAN

dc.contributor.author	Absalyam, Kuanysh
dc.contributor.author	Moldamurat, Khuralay
dc.contributor.author	Hajizadeh, Cengiz
dc.date.accessioned	2025-06-05T05:29:45Z
dc.date.available	2025-06-05T05:29:45Z
dc.date.issued	2025-04-16
dc.identifier.isbn	978-601-385-052-8
dc.identifier.uri	http://repository.enu.kz/handle/enu/24020
dc.description.abstract	This article presents an algorithm for using artificial intelligence to predict fire danger in the forests of the Semey region of Kazakhstan. The study analyzes the main factors influencing the occurrence of wildfires, including meteorological parameters (temperature, humidity, wind speed, and atmospheric pressure), as well as the ecological characteristics of the region. A mathematical model has been developed to assess the probability of fire occurrence, and an algorithm for its implementation in the MATLAB software environment is proposed.	ru
dc.language.iso	en	ru
dc.publisher	L.N. Gumilyov Eurasian National University	ru
dc.subject	artificial intelligence	ru
dc.subject	fire prediction	ru
dc.subject	Semey forest	ru
dc.subject	Machine learning	ru
dc.subject	neural networks	ru
dc.subject	MATLAB	ru
dc.title	ALGORITHM FOR USING ARTIFICIAL INTELLIGENCE IN PREDICTING FIRE DANGER IN THE SEMEY FOREST IN KAZAKHSTAN	ru
dc.type	Article	ru