[PDF][PDF] Role of machine learning algorithms in forest fire management: A literature review

M Arif, KK Alghamdi, SA Sahel… - J. Robot …, 2021 - pdfs.semanticscholar.org
Forest fire disasters are recently getting lots of attention due to climate change globally.
Globally, climate changes are rapidly changing the fire patterns on Earth. Effective fire …

Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

SS Singh, C Jeganathan - Advances in Space Research, 2024 - Elsevier
The escalating global threat of forest fires, driven by global warming, requires the
development of effective prediction systems to mitigate damages. This research focuses on …

[HTML][HTML] Toward a holistic approach: considerations for improved collaboration in wildfire management

SJ De Abreu - Open Journal of Forestry, 2021 - scirp.org
State and Federal agencies in the United States manage wildland fires to minimize forest
loss and reduce fire impacts on communities living near forests. Despite changes to policy …

[HTML][HTML] Prediction of fire risk based on cloud computing

X Zhang - Alexandria Engineering Journal, 2021 - Elsevier
The development of cloud computing and big data analysis has given rise to various
disaster prediction methods. To reduce the probability of fire accidents, it is critical to predict …

Prediction of forest fire using neural network based on extreme learning machines (ELM)

M Anshori, F Mar'i, MW Alauddin… - … and technology (SIET), 2019 - ieeexplore.ieee.org
To prevent forest fires, predictions need to be made to find out areas of land that have the
potential to burn based on meteorological conditions obtained from the sensor, so that it is …

Impact of Corporate Social Responsibility between Green Accounting and Sustainable Development Goals

ID Pamungkas, MR Raihan, DPI Satata… - Jurnal Dinamika …, 2024 - journal.unnes.ac.id
Purposes: This study aims to test and analyze the impact of CSR on SDGs, Green
Accounting's link with SDGs, and CSR's moderating effect on this relationship. Next, it will …

Método de Reducción de incertidumbre basado en algoritmos evolutivos y paralelismo orientado a la predicción y prevención de desastres naturales

M Méndez Garabetti - 2022 - sedici.unlp.edu.ar
La presente tesis doctoral aborda la problemática de la incertidumbre existente en todo
sistema de predicción, focalizando en el desarrollo de métodos de reducción de …

Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction

J Strappa, P Caymes-Scutari, G Bianchini - Algorithms, 2022 - mdpi.com
The problem of wildfire spread prediction presents a high degree of complexity due in large
part to the limitations for providing accurate input parameters in real time (eg, wind speed …

Environmental risk in Northeast Brazil: estimation of burning areas in Coreaú River Basin, Ceará, Brazil

UC de Oliveira, EC Lima, TWX de Figueiredo… - Environmental …, 2021 - Springer
This work aims to estimate the burned areas in the hydrographic basin of the Coreaú River,
State of Ceará, north of Northeast Brazil, which has an area of 10,633.67 km2, through the …

Environmental risk in Northeast Brazil: estimation of burning areas in Coreaú River Basin, Ceará, Brazil

LE Cortez, FCE Linhares - Environmental Monitoring and …, 2021 - search.proquest.com
This work aims to estimate the burned areas in the hydrographic basin of the Coreaú River,
State of Ceará, north of Northeast Brazil, which has an area of 10,633.67 km 2, through the …