One of the worst environmental catastrophes that endanger the Australian community is
wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and …

The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …

Forests are important dynamic systems which are widely affected by fire worldwide. Due to
the complexity and non-linearity of the forest fire problem, employing hybrid evolutionary …

This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy
Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility …

Forest fires are highly destructive phenomena in both ecological and economic terms.
Therefore, it is significant to develop measures to detect and mitigate them. In this study, the …

The risk of forest and pasture fires is one of the research topics of interest around the world.
Applying precise strategies to prevent potential effects and minimize the occurrence of such …

A forest fire susceptibility map generated with the fire susceptibility model is the basis of fire
prevention resource allocation. A more reliable susceptibility map helps improve the …

The video game market has become increasingly popular among children and adolescents
in recent decades. In this research, we investigated the Video Game Addiction Scale (VGAS) …

The forest fire hazard mapping using the accurate models in the fire-prone areas has
particular importance to predict the future fire occurrence and allocate the resources for …

Purpose The paper aims to build a customized hybrid multi-criteria model to identify the top
three utilities of drones at both personal and community levels for two use cases: firefighting …