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Published in 2020 at "Journal of Forestry Research"
DOI: 10.1007/s11676-020-01230-7
Abstract: Traditional fire smoke detection methods mostly rely on manual algorithm extraction and sensor detection; however, these methods are slow and expensive to achieve discrimination. We proposed an improved convolutional neural network (CNN) to achieve fast…
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Keywords:
network;
convolutional neural;
fire smoke;
fire ... See more keywords
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Published in 2017 at "Safety Science"
DOI: 10.1016/j.ssci.2016.10.009
Abstract: Abstract This paper proposes an extended Floor-Field (FF) model to study the pedestrian evacuation dynamics with the influence of the fire and the smoke spreading. The spreading of smoke is from top to bottom, which…
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Keywords:
movement;
fire;
evacuation dynamics;
fire smoke ... See more keywords
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Published in 2020 at "Nature"
DOI: 10.1038/d41586-020-00886-9
Abstract: The first study to estimate health effects from Australia’s extreme fires suggests that several thousand extra people were admitted to hospital. The first study to estimate health effects from Australia’s extreme fires suggests that several…
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Keywords:
linked hundreds;
hundreds deaths;
smoke linked;
fire smoke ... See more keywords
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Published in 2021 at "International Journal of Wildland Fire"
DOI: 10.1071/wf20086
Abstract: It is difficult to detect forest fires in complex backgrounds owing to the many interfering factors in forest fire smoke. In this paper, a novel method that combines Time Domain Robust Principal Component Analysis (TRPCA)…
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Keywords:
forest fire;
fire smoke;
smoke;
fire ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960209
Abstract: This paper proposes a vision-based fire and smoke segmentation system which uses spatial, temporal and motion information to extract the desired regions from the video frames. The fusion of information is done using multiple features…
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Keywords:
fire smoke;
segmentation fire;
unsupervised segmentation;
fire ... See more keywords
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Published in 2017 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2016.2579744
Abstract: Anxiety impairs evacuees' ability to select appropriate routes during building fire and smoke evacuations. Understanding anxiety is thus essential to provide proper guidance to evacuees. However, it is challenging to model how anxiety affects evacuees'…
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Keywords:
anxiety;
building fire;
impacts anxiety;
fire smoke ... See more keywords
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Published in 2017 at "Acta Anaesthesiologica Scandinavica"
DOI: 10.1111/aas.12962
Abstract: Acute fire smoke inhalation injury involves inflammatory mediators whose roles are poorly understood. We carried out a prospective observational study of fire smoke victims to identify clinical and biochemical markers that may predict pulmonary dysfunction…
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Keywords:
wheezing predicts;
bronchial wheezing;
fire smoke;
fire ... See more keywords
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Published in 2017 at "Indoor and Built Environment"
DOI: 10.1177/1420326x16660600
Abstract: Present specifications in Building Codes in China lack design parameters for smoke exhaust for large and high-rise atrium in buildings. An investigation of natural smoke filling and parametrization of fire-smoke exhaust in an atrium building…
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Keywords:
smoke;
salt bath;
fire smoke;
atrium ... See more keywords
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Published in 2021 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2021.508971
Abstract: Effective strategies to reduce indoor air pollutant concentrations during wildfire smoke events are critically needed. Worldwide, communities in areas prone to wildfires may suffer from annual smoke exposure events lasting from days to weeks. In…
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Keywords:
pollution;
smoke;
wildland fire;
air ... See more keywords
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Published in 2020 at "Atmosphere"
DOI: 10.3390/atmos11111241
Abstract: The technologies underlying fire and smoke detection systems play a crucial role in ensuring and delivering optimal performance in modern surveillance environments. In fact, fire can cause significant damage to lives and properties. Considering that…
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Keywords:
fire smoke;
smoke detection;
detection;
method ... See more keywords
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Published in 2023 at "Forests"
DOI: 10.3390/f14040833
Abstract: Forest fires are destructive and rapidly spreading, causing great harm to forest ecosystems and humans. Deep learning techniques can adaptively learn and extract features of forest fires and smoke. However, the complex backgrounds and different…
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Keywords:
fire smoke;
fire;
forest fire;
detection ... See more keywords