A review of machine learning applications in wildfire science and management
Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …
with early applications including neural networks and expert systems. Since then, the field …
[HTML][HTML] Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions
Natural hazard risk is largely projected to increase in the future, placing growing
responsibility on decision makers to proactively reduce risk. Consequently, decision support …
responsibility on decision makers to proactively reduce risk. Consequently, decision support …
Modeling the effects of different fuel treatment mosaics on wildfire spread and behavior in a Mediterranean agro-pastoral area
Wildfire spread and behavior can be limited by fuel treatments, even if their effects can vary
according to a number of factors including type, intensity, extension, and spatial …
according to a number of factors including type, intensity, extension, and spatial …
[HTML][HTML] Efficient simulation execution of cellular automata on GPU
D Cagigas-Muñiz, F Diaz-del-Rio… - … Modelling Practice and …, 2022 - Elsevier
Abstract Graphics Processing Units (GPUs) can be used as convenient hardware
accelerators to speed up Cellular Automata (CA) simulations, which are employed in many …
accelerators to speed up Cellular Automata (CA) simulations, which are employed in many …
Surrogate-assisted finite element model updating for detecting scour depths in a continuous bridge
In this study, the Kriging surrogate-assisted method is proposed to improve the
computational efficiency in finite element model updating (FEMU) based scour depth …
computational efficiency in finite element model updating (FEMU) based scour depth …
Parallel fuzzy cellular automata for data-driven simulation of wildfire spreading
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 …
efficient parallel computational models able to simulate various physical processes and …
Opencal system extension and application to the three-dimensional richards equation for unsaturated flow
OpenCAL is a scientific software library specifically developed for the simulation of 2D and
3D complex dynamical systems on parallel computational devices. It is written in C/C++ and …
3D complex dynamical systems on parallel computational devices. It is written in C/C++ and …
Economic Analysis of Wildfire Impacts to Water Quality: a Review
As the frequency and severity of large wildfires in the western United States have grown,
impacts to private property and air quality have typically attracted the greatest attention; …
impacts to private property and air quality have typically attracted the greatest attention; …
A first multi-GPU/multi-node implementation of the open computing abstraction layer
A De Rango, D Spataro, W Spataro… - Journal of Computational …, 2019 - Elsevier
Here we present a first multi-node/multi-GPU implementation of OpenCAL for grid-based
high-performance numerical simulation. OpenCL and MPI have been adopted as low-level …
high-performance numerical simulation. OpenCL and MPI have been adopted as low-level …
The open computing abstraction layer for parallel complex systems modeling on many-core systems
D D'Ambrosio, A De Rango, M Oliverio… - Journal of Parallel and …, 2018 - Elsevier
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 …
and many-core computing based on the Extended Cellular Automata general formalism …