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Channel-wise attention model-based fire and rating level de..:

Yirui Wu ; Yuechao He ; Palaiahnakote Shivakumara...
https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0022. , 2019

Link: https://doi.org/10.1049/trit.2019.0022

RT Journal
T1 <Title>Channel-wise attention model-based fire and rating level detection in video</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:5e4d0953748740a7bece3db281f372f8&Exemplar=1&LAN=DE
				
A1 Yirui Wu
A1 Yuechao He
A1 Palaiahnakote Shivakumara
A1 Ziming Li
A1 Hongxin Guo
A1 Tong Lu
PB Wiley
YR 2019
K1 feature extraction
K1 learning (artificial intelligence)
K1 neural nets
K1 channel-wise attention model-based fire
K1 rating
K1 natural disaster
K1 global warning
K1 unexpected fire
K1 deep-learning models
K1 rescue team
K1 hybrid deep convolutional neural network
K1 motion detection
K1 maximally stable extremal region
K1 channel-wise attention mechanism
K1 deep neural network
K1 fire level
K1 Computational linguistics. Natural language processing
K1 P98-98.5
K1 Computer software
K1 QA76.75-76.765
JF https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0022
LK http://dx.doi.org/https://doi.org/10.1049/trit.2019.0022
DO https://doi.org/10.1049/trit.2019.0022
SF ELIB - SuUB Bremen

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