AIMC Topic: 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...
Neural Networks, Computer Artificial Intelligence Humans Blindness Persons with Visual Disabilities Recurrent Neural Networks Algorithms Fires
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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 Decision Making Remote Sensing Technology Geographic Information Systems Fires India Forests 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...
Smoke Forests Wildfires Neural Networks, Computer Algorithms Deep Learning Fires Humans
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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...
Machine Learning Fires Forests Wildfires Risk Assessment India Climate Change
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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...
Humans Neural Networks, Computer Fires Algorithms Deep Learning
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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, ...
Wildfires Neural Networks, Computer Unmanned Aerial Devices Algorithms Fires Environmental Monitoring Forests Remote Sensing Technology
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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 Machine Learning Environmental Monitoring Soil Pollutants Lead Fires
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Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain.

Journal of environmental management Nov 15, 2024
The fire safety compliance checking (FSCC) plays a crucial role in ensuring the quality of fire engineering design and eliminating inherent fire hazards. It requires an objective and rational interpretation of fire regulations. However, the texts of ...
Natural Language Processing Fires
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Cooperative control of environmental extremes by artificial intelligent agents.

Journal of the Royal Society, Interface Nov 6, 2024
Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innovations that allowed to reduce and control the impact of extreme events....
Ecosystem Humans Models, Biological Artificial Intelligence Fires Trees
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Predicting burn probability: Dimensionality reduction strategies enable accurate and computationally efficient metamodeling.

Journal of environmental management Oct 30, 2024
Predicting the probability that a given location will be burnt by a wildfire is an important part of understanding the risk that wildfires pose and how our management actions (e.g., prescribed burning) can reduce this risk. Existing methods to quanti...
Models, Theoretical Fires Neural Networks, Computer Machine Learning Wildfires Probability
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