A review of machine learning applications in wildfire science and management

P Jain, SCP Coogan, SG Subramanian… - Environmental …, 2020 - cdnsciencepub.com
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 …

Assessment of k-nearest neighbor and random forest classifiers for mapping forest fire areas in central portugal using landsat-8, sentinel-2, and terra imagery

AP Pacheco, JAS Junior, AM Ruiz-Armenteros… - Remote Sensing, 2021 - mdpi.com
Forest fires threaten the population's health, biomass, and biodiversity, intensifying the
desertification processes and causing temporary damage to conservation areas. Remote …

Wildland fire spread modeling using convolutional neural networks

JL Hodges, BY Lattimer - Fire technology, 2019 - Springer
The computational cost of predicting wildland fire spread across large, diverse landscapes is
significant using current models, which limits the ability to use simulations to develop …

Predicting large domain multi-physics fire behavior using artificial neural networks

JL Hodges - 2018 - vtechworks.lib.vt.edu
Fire dynamics is a complex process involving multi-mode heat transfer, reacting fluid flow,
and the reaction of combustible materials. High-fidelity predictions of fire behavior using …

[PDF][PDF] A Comprehensive Review on Prediction and Detection of Forest Fires Using Machine Learning Algorithms

A Hooda, A Asthana, V Patkar - Easy-Chair, 2021 - easychair.org
Forests play a very important role in sustaining the environment. Wildfires or forest fires are
not only responsible for the destruction of the natural environment, but also affects the …

Wildfire Risk Prediction for a Smart City

R Rani - 2021 - scholarworks.sjsu.edu
Wildfires are uncontrolled fires that may lead to the destruction of biodiversity, soil fertility,
and human resources. There is a need for timely detection and prediction of wildfires to …

[图书][B] Energy Analytics for Infrastructure: An Application to Institutional Buildings

H Naganathan - 2017 - search.proquest.com
Commercial buildings in the United States account for 19% of the total energy consumption
annually. Commercial Building Energy Consumption Survey (CBECS), which serves as the …

[PDF][PDF] GPU Accelerated Classifier Benchmarking for Wildfire Related Tasks

LD Santos - 2017 - run.unl.pt
Forest fires cause devastating amounts of damage generating negative consequences in
the economy, the environment, the populations' quality of life and in worst case the loss of …

[引用][C] Smart City Wildfire Risk Analysis with Fuzzy Multi-Criteria Decision Making

R Rani, K Potika - International Journal of Semantic Computing, 2024 - World Scientific
Uncontrolled wildfires pose a significant threat, potentially causing extensive damage to
biodiversity, soil quality, and human resources. It's crucial to swiftly detect and predict these …

[引用][C] A machine learning algorithm for predicting wild fire occurrence

JO Otieno - 2020 - Strathmore University