Combustion machine learning: Principles, progress and prospects
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
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 …
A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
Because of their rapid maneuverability, extended operational range, and improved
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …
personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great …
Forest fire spread simulating model using cellular automaton with extreme learning machine
The quantitative simulation of forest fire spreading plays an essential role in designing quick
risk management and implementing effective suppression policies. As a preferable …
risk management and implementing effective suppression policies. As a preferable …
A review of genetic algorithm approaches for wildfire spread prediction calibration
Wildfires are complex natural events that cause significant environmental and property
damage, as well as human losses, every year throughout the world. In order to aid in their …
damage, as well as human losses, every year throughout the world. In order to aid in their …
Automatic fire detection based on soft computing techniques: review from 2000 to 2010
E Mahdipour, C Dadkhah - Artificial intelligence review, 2014 - Springer
Automatic fire detection system is a system that is capable of assessing environmental
factors and their effects on the environment as well as predicting the occurrence of fire in the …
factors and their effects on the environment as well as predicting the occurrence of fire in the …
Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model
Wildfires are complex phenomena with harmful consequences, ranging from environmental
and property destruction to loss of human lives. In this sense, predicting wildfire behaviour is …
and property destruction to loss of human lives. In this sense, predicting wildfire behaviour is …
Dynamic data-driven genetic algorithm for forest fire spread prediction
This work represents the first step towards a Dynamic Data-Driven Application System
(DDDAS) for wildland fire prediction. Our main efforts are focused on taking advantage of the …
(DDDAS) for wildland fire prediction. Our main efforts are focused on taking advantage of the …
[HTML][HTML] Cloud-based urgent computing for forest fire spread prediction
Forest fires cause every year damages to biodiversity, atmosphere, and economy activities.
Forest fire simulation have improved significantly, but input data describing fire scenarios …
Forest fire simulation have improved significantly, but input data describing fire scenarios …
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms
Forest fire propagation prediction is a crucial issue when fighting these hazards as efficiently
as possible. Several propagation models have been developed and integrated in computer …
as possible. Several propagation models have been developed and integrated in computer …