[PDF][PDF] Forest fires detection using deep transfer learning
Forests are vital ecosystems composed of various plant and animal species that have
evolved over years to coexist. Such ecosystems are often threatened by wildfires that can …
evolved over years to coexist. Such ecosystems are often threatened by wildfires that can …
DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection
Forest fires pose a potential threat to the ecological and environmental systems and natural
resources, impacting human lives. However, automated surveillance system for early forest …
resources, impacting human lives. However, automated surveillance system for early forest …
A Lightweight Deep Learning Model for Forest Fires Detection and Monitoring
Forests play a critical role in our everyday lives, they provide us with fresh air and clean
water and are home to a variety of plants and animals. Forests are also an important source …
water and are home to a variety of plants and animals. Forests are also an important source …
Fire‐Net: A Deep Learning Framework for Active Forest Fire Detection
Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …
A review on early wildfire detection from unmanned aerial vehicles using deep learning-based computer vision algorithms
Wildfire is one of the most critical natural disasters that threaten wildlands and forest
resources. Traditional firefighting systems, which are based on ground crew inspection …
resources. Traditional firefighting systems, which are based on ground crew inspection …
FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
Background Forests cover nearly one-third of the Earth's land and are some of our most
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …
Analysis of Deep Learning Methods for Early Wildfire Detection Systems
AS Mahdi, SA Mahmood - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
A wildfire is an uncontrollable fire that arises outside of a specific focus, damages property,
and poses a threat to human life and health. Thousands of fires are started every year for a …
and poses a threat to human life and health. Thousands of fires are started every year for a …
Fire detection using deep transfer learning on surveillance videos
A Bari, T Saini, A Kumar - 2021 Third international conference …, 2021 - ieeexplore.ieee.org
Traditional sensor-based fire detection systems cannot be alerted until the heat actually
reach to the sensors. Therefore, it is evident to make a fast, robust and reliable system which …
reach to the sensors. Therefore, it is evident to make a fast, robust and reliable system which …
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Forest fires caused by natural causes such as climate change, temperature increase,
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
lightning strikes, volcanic activity or human effects are among the world's most dangerous …
Wildfires Detection and Segmentation Using Deep CNNs and Vision Transformers
R Ghali, MA Akhloufi - International Conference on Pattern Recognition, 2022 - Springer
Wildfires are an important natural risk which causes enormous damage to the environment.
Many researchers are working to improve firefighting using AI. Various vision-based fire …
Many researchers are working to improve firefighting using AI. Various vision-based fire …