AIMC Topic: Fires

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FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.

PloS one Aug 7, 2025
The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under...
Deep Learning Fires Internet of Things Algorithms
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Mapping burnt areas using very high-resolution imagery and deep learning algorithms - a case study in Bandipur, India.

PloS one Jul 16, 2025
Burnt area (BA) mapping is crucial for assessing wildfire impact, guiding restoration efforts, and improving fire management strategies. Accurate BA data helps estimate carbon emissions, biodiversity loss, and land surface properties post-fire change...
ROC Curve India Algorithms Deep Learning Fires
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm.

Scientific reports Jul 1, 2025
The developing elderly population undergoes a high level of eyesight and mental impairment, which frequently results in a defeat of independence. That kind of person should do vital daily tasks like heating and cooking, with methods and devices inten...
Fires Blindness Persons with Visual Disabilities Recurrent Neural Networks Artificial Intelligence Humans Algorithms Neural Networks, Computer
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Improving the usability of large emergency 911 data reporting systems: A machine learning case study using emergency incident descriptions.

Journal of safety research Apr 7, 2025
INTRODUCTION: Emergency 9-1-1 incident data are recorded voluntarily within fire-department-specific computer-aided dispatch systems. The National Fire Incident Reporting System serves as a repository for these data, but inconsistency and variability...
Humans Natural Language Processing Risk Management Fires Machine Learning Emergencies
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Forest fire susceptibility mapping using multi-criteria decision making and machine learning models in the Western Ghats of India.

Journal of environmental management Mar 9, 2025
Forest fires have significantly increased over the last decade due to shifts in rainfall patterns, warmer summers, and long spells of dry weather events in the coastal regions. Assessment of susceptibility to forest fires has become an important mana...
Wildfires Fires Forests Geographic Information Systems India Decision Making Remote Sensing Technology Machine Learning
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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection.

Scientific reports Feb 4, 2025
Forest fires represent a major risk to both ecosystems and human health that rising frequency of it exacerbates global warming. This study introduces an innovative methodology for detecting forest fires and smoke using an enhanced capsule neural netw...
Humans Neural Networks, Computer Algorithms Smoke Forests Deep Learning Wildfires Fires
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Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems.

Environmental science and pollution research international Feb 1, 2025
Forest fires pose a significant ecological and environmental threat globally, and India has seen a marked increase in both the frequency and severity of these events in recent years. This has led to extensive damage to natural resources, including fo...
Climate Change Forests Wildfires Machine Learning India Fires Risk Assessment
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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning.

PloS one Jan 31, 2025
The continuous development of the field of artificial intelligence, not only makes people's lives more convenient but also plays a role in the supervision and protection of people's lives and property safety. News of the fire is not uncommon, and fir...
Algorithms Deep Learning Humans Neural Networks, Computer Fires
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U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2025
Forest fires pose a serious threat to the global ecological environment, and the critical steps in reducing the impact of fires are fire warning and real-time monitoring. Traditional monitoring methods, like ground observation and satellite sensing, ...
Fires Environmental Monitoring Forests Wildfires Neural Networks, Computer Remote Sensing Technology Unmanned Aerial Devices Algorithms
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Classification of soil contamination by heavy metals (Cr, Ni, Pb, Zn) in wildfire-affected areas using laser-induced breakdown spectroscopy and machine learning.

Environmental science and pollution research international Jan 8, 2025
The assessment of soil contamination by heavy metals is of high importance due to its impact on the environment and human health. Standard high-sensitivity spectroscopic techniques for this task such as atomic absorption spectrometry (AAS) and induct...
Metals, Heavy Spectrum Analysis Lasers Soil Pollutants Fires Soil Machine Learning Environmental Monitoring Lead
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