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 brief review of machine learning algorithms in forest fires science
Due to the harm forest fires cause to the environment and the economy as they occur more
frequently around the world, early fire prediction and detection are necessary. To anticipate …
frequently around the world, early fire prediction and detection are necessary. To anticipate …
Predictive modeling of wildfires: A new dataset and machine learning approach
YO Sayad, H Mousannif, H Al Moatassime - Fire safety journal, 2019 - Elsevier
Wildfires, whether natural or caused by humans, are considered among the most dangerous
and devastating disasters around the world. Their complexity comes from the fact that they …
and devastating disasters around the world. Their complexity comes from the fact that they …
A survey of machine learning algorithms based forest fires prediction and detection systems
F Abid - Fire technology, 2021 - Springer
Forest fires are one of the major environmental concerns, each year millions of hectares are
destroyed over the world, causing economic and ecological damage as well as human lives …
destroyed over the world, causing economic and ecological damage as well as human lives …
Mechanistically informed machine learning and artificial intelligence in fire engineering and sciences
MZ Naser - Fire Technology, 2021 - Springer
Fire is a chaotic and extreme phenomenon. While the past few years have witnessed the
success of integrating machine intelligence (MI) to tackle equally complex problems in …
success of integrating machine intelligence (MI) to tackle equally complex problems in …
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques
Forests are living dynamic systems and these unique ecosystems are essential for life on
earth. Forest fires are one of the major environmental concerns, economic, and social in the …
earth. Forest fires are one of the major environmental concerns, economic, and social in the …
A data mining approach to predict forest fires using meteorological data
P Cortez, AJR Morais - 2007 - repositorium.sdum.uminho.pt
Forest fires are a major environmental issue, creating economical and ecological damage
while endangering human lives. Fast detection is a key element for controlling such …
while endangering human lives. Fast detection is a key element for controlling such …
A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire …
H Pourghasemi, M Beheshtirad… - … , Natural Hazards and …, 2016 - Taylor & Francis
The main purpose of this study is to assess forest fire susceptibility maps (FFSMs) and their
performances comparison using modified analytical hierarchy process (M-AHP) and …
performances comparison using modified analytical hierarchy process (M-AHP) and …
Forest fire susceptibility map** in the Minudasht forests, Golestan province, Iran
Forests are important natural resources having the role of supporting economic activity
which plays a significant role in regulating the climate and the carbon cycle. Forest …
which plays a significant role in regulating the climate and the carbon cycle. Forest …
Detection of forest fires and pollutant plume dispersion using IoT air quality sensors
The widespread adoption of Internet of Things (IoT) sensors has revolutionized our
understanding of the formation and mitigation of air pollution, significantly improving the …
understanding of the formation and mitigation of air pollution, significantly improving the …