AIMC Topic: Fires

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Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques.

Sensors (Basel, Switzerland) Aug 11, 2024
In this study, a novel method combining contour analysis with deep CNN is applied for fire detection. The method was made for fire detection using two main algorithms: one which detects the color properties of the fires, and another which analyzes th...
Algorithms Fires Neural Networks, Computer
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Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine.

Journal of environmental management Apr 26, 2024
Forest fires threaten global ecosystems, socio-economic structures, and public safety. Accurately assessing forest fire susceptibility is critical for effective environmental management. Supervised learning methods dominate this assessment, relying o...
Fires Forests Supervised Machine Learning Support Vector Machine China Ecosystem Wildfires
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Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes.

Journal of environmental management Jan 5, 2024
Accurate estimation of potential wildfire behavior characteristics (PWBC) can improve wildfire danger assessment. However, wildfire behavior has been estimated by most fire spread models with immeasurable uncertainties and difficulties in large-scale...
China Reactive Oxygen Species Deep Learning Artificial Intelligence Wildfires Conservation of Natural Resources Fires
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Probabilistic real-time natural gas jet fire consequence modeling of offshore platforms by hybrid deep learning approach.

Marine pollution bulletin Jun 7, 2023
Natural gas jet fire induced by igniting blowouts has the potential to cause critical structure damage and great casualties of offshore platforms. Real-time natural gas jet fire plume prediction is essential to support the emergency planning to mitig...
Fires Natural Gas Bayes Theorem Deep Learning
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Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems.

Sensors (Basel, Switzerland) Jan 11, 2023
High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. However, due to the small changes and erratic fluctuations in environmental parameters in the initial combustion phase, it is always a challenging task...
Least-Squares Analysis Fires Temperature Support Vector Machine Algorithms Neural Networks, Computer
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An Integrated Quantitative Risk Assessment Method for Underground Engineering Fires.

International journal of environmental research and public health Dec 16, 2022
Fires are one of the main disasters in underground engineering. In order to comprehensively describe and evaluate the risk of underground engineering fires, this study proposes a UEF risk assessment method based on EPB-FBN. Firstly, based on the EPB ...
Bayes Theorem Risk Factors Fires Fuzzy Logic Risk Assessment
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Risk Assessment of Green Intelligent Building Based on Artificial Intelligence.

Computational intelligence and neuroscience Sep 15, 2022
Green smart building is the development direction of future architecture. It is of great significance to carry out risk assessment. Fire risk is the key content of building risk, so this paper takes fire risk as the research object, with the help of ...
Risk Assessment Artificial Intelligence Neural Networks, Computer Fires Technology
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A Lightweight CNN Model Based on GhostNet.

Computational intelligence and neuroscience Jul 31, 2022
The existing deep learning models have problems such as large weight parameters and slow inference speed of equipment. In practical applications such as fire detection, they often cannot be deployed on equipment with limited resources due to the huge...
Fires Data Collection Algorithms Neural Networks, Computer
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Using Deep Learning with Thermal Imaging for Human Detection in Heavy Smoke Scenarios.

Sensors (Basel, Switzerland) Jul 18, 2022
In this study, we propose using a thermal imaging camera (TIC) with a deep learning model as an intelligent human detection approach during emergency evacuations in a low-visibility smoky fire scenarios. We use low-wavelength infrared (LWIR) images t...
Deep Learning Smoke Fires Firefighters Humans
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Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN.

Sensors (Basel, Switzerland) Jun 16, 2022
Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly and accurately perceive the fire. In this work, an indoor fire perception algorithm based on multi-sensor fusion was proposed. Firstly, the sensor data ...
Algorithms Perception Support Vector Machine Fires Neural Networks, Computer
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