Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

Forest fires have caused considerable losses to ecologies, societies, and economies
worldwide. To minimize these losses and reduce forest fires, modeling and predicting the …

Forest fires may have devastating consequences for the environment and for human lives.
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …

Wildland fires have been a rising problem on the worldwide level, generating ecological and
economic losses. Specifically, between wildland fire types, uncontrolled fires are critical due …

The territory of the Republic of Serbia is vulnerable to various natural disasters, among
which forest fires stand out. In relation with climate changes, the number of forest fires in …

Emergency decision-making is vital for nations or communities because it increases
emergency management's effectiveness and legitimacy, which in turn greatly minimizes …

Automated computer vision-based fire detection has gained popularity in recent years, as
every fire detection needs to be fast and accurate. In this paper, a new fire detection method …

The classical TODIM method solves problems by expressing the attribute values as crisp
numbers, thus incurring information loss. This paper, noting the ambiguity and fuzziness of …

Forest fires are important factors that influence and restrict the development of forest
ecosystems. In this paper, forest-fire-risk prediction was studied based on random forest …

Forest fires frequently termed as wildfires are fiercely destructive disasters causing
enormous ecological and economic damage, as well as the loss of human lives. Global …