Wildfires constitute an extremely serious social and environmental issue in the
Mediterranean region, with impacts on human lives, infrastructures and ecosystems. It is …

Wildfires often threaten natural and economic resources and human lives. Wildfire
susceptibility assessments have become essential for efficient disaster management and …

With increasing climate variability, there is a rise in the exposure to, and incidence of,
ruminant heat stress (HS), increasing the requirement for focused research. As such, precise …

Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and …

Natural complex phenomena simulation relies on the application of advanced numerical
models. Nevertheless, due to their inherent temporal and spatial computational complexity …

Prediction of the way wildfires propagate in forests and rangelands is one of the critical
issues in environmental protection and disaster management. This research aims to …

Raster-based methods for simulating wildfire spread are computationally more efficient than
vector-based approaches. In spite of this, their success has been limited by the distortions …

Cellular automata (CA) have proven to be excellent tools for the simulation of a wide variety
of phenomena in the natural world. They are ideal candidates for acceleration with modern …

This article introduces OpenCAL, a new open source computing abstraction layer for multi-
and many-core computing based on the Extended Cellular Automata general formalism …

Despite being computationally more efficient than vector-based approaches, the use of
raster-based techniques for simulating wildfire spread has been limited by the distortions …