[1] |
Chen Qingdian, Zhong Chen, Liu Hui, Wang Xiaohui.
Research and improvement of fire detection method for historical buildings based on FireNet
[J]. Fire Science and Technology, 2024, 43(2): 183-188.
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[2] |
Chen Xiaoyu, Wang Xiao, Wang Tao, Li Le.
Research on the effect of water⁃based fire detection tubes fire suppression technology on extinguishing lithium⁃ion battery fire
[J]. Fire Science and Technology, 2024, 43(2): 210-216.
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[3] |
Zeng Yanfu, Li Yizhou, Huang Xinyan.
Deep-learning prediction on fire-induced temperature field in complex room layouts
[J]. Fire Science and Technology, 2024, 43(1): 51-55.
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[4] |
Li Xiaoxu, Li Boning, Zhang Xi, Yu Chunyu, .
Image fire detection algorithm based on YOLOv5 with CA-Res attention mechanism
[J]. Fire Science and Technology, 2023, 42(8): 1113-1116.
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[5] |
Wang Naiyu, Wang Zhuo, Zhang Zichao, Wu Jinting.
Reserch on forest fire detection base on improved YOLOv5
[J]. Fire Science and Technology, 2023, 42(8): 1117-1120.
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[6] |
Hao Yongqi, Liu Xiaoming, Zhang Guofang.
A system of flame location and automatic tracking for fire-fighting robot
[J]. Fire Science and Technology, 2023, 42(7): 966-971.
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[7] |
Deng Li, Xie Shuangshuang, He Yuanhua, Liu Quanyi.
Research on multi parameter detection technology of civil aircraft cargo compartment fire based on millimeter wave
[J]. Fire Science and Technology, 2023, 42(3): 370-373.
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[8] |
Tang Wei, Zhang Wendi, Yuan Hang, Xie Cong.
Detection of smoldering fires based on the correlation between infrared images and environmental information
[J]. Fire Science and Technology, 2023, 42(12): 1636-1641.
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[9] |
Deng Li, Xie Shuangshuang, He Yuanhua, Liu Quanyi, .
Research on flame visible and infrared mult-feature fusion image detection algorithm in aircraft cargo compartment
[J]. Fire Science and Technology, 2023, 42(12): 1709-1713.
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[10] |
Han Lei, Qu Na, Sui Yufan, Tan Lili.
Research on fire detection based on BSO-ELM
[J]. Fire Science and Technology, 2023, 42(1): 103-106.
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[11] |
Liu Gui, An Ke, Wu Jiaxin, Lin Ziyan.
Design of reconnaissance and fire fighting robot system
[J]. Fire Science and Technology, 2022, 41(9): 1273-1277.
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[12] |
XIE Jing-rong, LI Ning-ning.
Reliability analysis of independent fire detection alarm networking system
[J]. Fire Science and Technology, 2022, 41(7): 1001-1004.
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[13] |
ZHANG Miao, LI Pu, YANG Yi, SONG Wen-hua.
Image fire detection algorithms based on object detection convolutional neural networks
[J]. Fire Science and Technology, 2022, 41(6): 807-811.
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[14] |
JIA Rong-tian, YUAN Chun-miao, CAI Jing-zhi, ZHENG Hao-tian.
Design of multi parameter fire detection system based on neural network algorithm
[J]. Fire Science and Technology, 2022, 41(4): 526-529.
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[15] |
ZHONG Rui1,2, LU Shou-xiang1.
Application of optimized neural network in multi-sensor fire detection
[J]. Fire Science and Technology, 2022, 41(3): 394-397.
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