Multifunctional MXene/Aramid Nanofiber Composite Films for Efficient Electromagnetic Interference Shielding and Repeatable Early Fire Detection
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c03219
Abstract: Rapid development of highly integrated electronic and telecommunication devices has led to urgent demands for electromagnetic interference (EMI) shielding materials that incorporate flame retardancy, and more desirably the early fire detection ability, due to the… read more here.
Keywords: fire; early fire; fire detection; electromagnetic interference ... See more keywords
Efficient Video Fire Detection Exploiting Motion-Flicker-Based Dynamic Features and Deep Static Features
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2991338
Abstract: Since fire is one of the most serious types of accidents that can occur, there is always a need for improvement in fire detection capabilities. Convolutional neural networks (CNNs) have been used for a variety… read more here.
Keywords: fire detection; deep static; static features; dynamic features ... See more keywords
A Privacy-Preserving Iot-Based Fire Detector
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069588
Abstract: Fire detection has been an issue of interest to researchers due to its significant damage to lives and property within a very short time. One of the recent solutions developed to detect fire is to… read more here.
Keywords: fire detection; fire detector; privacy preserving; fire ... See more keywords
Uncertainty Assessment-Based Active Learning for Reliable Fire Detection Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190852
Abstract: Deep learning technologies, due to their advanced pattern extraction and recognition of high-dimensional data, have been widely adopted into multisensor-based fire detection systems. Since deep learning approaches can generate erroneous predictions due to incomplete training… read more here.
Keywords: uncertainty assessment; active learning; uncertainty; detection systems ... See more keywords
Characteristics Based Fire Detection System Under the Effect of Electric Fields With Improved Yolo-v4 and ViBe
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190867
Abstract: To address slow image-based detection of fires under the effect of electric fields and its limitation to static fire characteristics, this paper proffersa video-based fire detection system with improved you only look once version 4… read more here.
Keywords: system; effect electric; fire; detection ... See more keywords
A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.003.2100325
Abstract: As the unmanned aerial vehicles (UAVs) continue to be deployed for various mission-critical data acquisition, localized computing on the drone-acquired data for efficient analysis, without significantly impacting the limited resources on board the drone, has… read more here.
Keywords: use case; forest fire; detection; model ... See more keywords
A Fast Video Fire Detection of Irregular Burning Feature in Fire-Flame Using in Indoor Fire Sensing Robots
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3212986
Abstract: Indoor fire sensing robot could become the best choice to detect irregularity features in a complex situation with help of nascent visual technologies. This article works on improvement computational time and accuracy of video fire… read more here.
Keywords: flame; fire; feature; indoor fire ... See more keywords
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3207006
Abstract: Vision-based fire detection systems have been significantly improved by deep models; however, higher numbers of false alarms and a slow inference speed still hinder their practical applicability in real-world scenarios. For a balanced trade-off between… read more here.
Keywords: fire attention; dual fire; fire; fire detection ... See more keywords
A Real-Time Fire Detection Method from Video with Multifeature Fusion
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/1939171
Abstract: The threat to people's lives and property posed by fires has become increasingly serious. To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature… read more here.
Keywords: detection; flame; time; method ... See more keywords
Multispectral Satellite Imagery Products for Fire Weather Applications
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Atmospheric and Oceanic Technology"
DOI: 10.1175/jtech-d-22-0107.1
Abstract: Two multispectral satellite imagery products are presented that were developed for use within the fire management community. These products, which take the form of false color red-green-blue composites, were designed to aid fire detection and… read more here.
Keywords: fire detection; satellite imagery; multispectral satellite; fire ... See more keywords
Peatland fire detection using spatio-temporal data mining analysis in Kalimantan, Indonesia
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Tropical Forest Science"
DOI: 10.26525/jtfs2018.30.2.154162
Abstract: Peatland fire has been an important environmental issue in Indonesia as well as in ASEAN region as it is strongly related with transboundary haze pollution. Hotspot has been used as an indicator of forest and… read more here.
Keywords: temporal data; data mining; peatland; spatio temporal ... See more keywords