| [1] |
ChinaNews. 2019. China has reported a total of 392 fires in cultural relics and ancient buildings in the past decade. https://baijiahao.baidu.com/s?id=1631135149157938341&wfr=spider&for=pc (In Chinese) |
| [2] |
Hu A, Xie J. 2022. Study on fire risks in ancient architecture and relevant prevention and control measures. China Cultural Heritage 107(1):66−71 doi: 10.3969/j.issn.1672-7819.2022.01.013 |
| [3] |
Pawar A. 2020. A multi-disciplinary vision-based fire and smoke detection system. Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 5−7 November 2020. Washington D.C., USA: IEEE Press. pp. 900−4. https://doi.org/10.1109/ICECA49313.2020.9297511 |
| [4] |
Valikhujaev Y, Abdusalomov A, Cho YI. 2020. Automatic fire and smoke detection method for surveillance systems based on dilated CNNs. Atmosphere 11:1241 doi: 10.3390/atmos11111241 |
| [5] |
Zhao Y, Zhang H, Zhang X, Chen X. 2021. Fire smoke detection based on target-awareness and depth wise convolutions. Multimedia Tools and Applications 80:27407−21 doi: 10.1007/s11042-021-11037-1 |
| [6] |
Khan S, Muhammad K, Hussain T, Del Ser J, Cuzzolin F, et al. 2021. DeepSmoke: deep learning model for smoke detection and segmentation in outdoor environments. Expert Systems with Applications 182:115125 doi: 10.1016/j.eswa.2021.115125 |
| [7] |
Park M, Ko BC. 2020. Two-step real-time night-time fire detection in an urban environment using static ELASTIC-YOLOv3 and temporal fire-tube. Sensors 20:2202 doi: 10.3390/s20082202 |
| [8] |
Xu G, Zhang Y, Zhang Q, Lin G, Wang Z, et al. 2019. Video smoke detection based on deep saliency network. Fire Safety Journal 105:277−85 doi: 10.1016/j.firesaf.2019.03.004 |
| [9] |
Lei Y, Shen Z, Tian F, Yang X, Wang F, et al. 2023. Fire risk level prediction of timber heritage buildings based on entropy and XGBoost. Journal of Cultural Heritage 63:11−22 doi: 10.1016/j.culher.2023.06.024 |
| [10] |
Zhang S, Zhang H, An H, Yang S, Wu Y. 2022. Intelligent smoke sensing early warning system for forest based on internet of things and image processing. Journal of Agricultural Mechanization Research 44(8):229−33 doi: 10.3969/j.issn.1003-188X.2022.08.041 |
| [11] |
Qian H. 2023. Key technologies of real-time fire safety monitoring in the context of smart city. Fire Science and Technology 42(3):407−10 doi: 10.3969/j.issn.1009-0029.2023.03.024 |
| [12] |
Zhou Y, Wang X, Zhang L, Pei J. 2020. Study on extension algorithm of complex mesh surface. Mechanical Science and Technology 39(12):1963−68 doi: 10.13433/j.cnki.1003-8728.20190347 |
| [13] |
Wen B. 2023. Comparative study on grid based algorithms for geochemical exploration data. Chinese Science and Technology Journal Database (Full Text Edition) Natural Science 2023(4):58−62 (In Chinese) |
| [14] |
Gao X, Ai W, Wang B, Zhang L, Xu F. 2023. Design of a dynamic visual reconstruction algorithm for meteorological data Based on cloud storage. Electronic Design Engineering 31(2):11−15 doi: 10.14022/j.issn1674-6236.2023.02.003 |
| [15] |
Pipe JG, Farthing VG, Forbes KP. 2002. Multishot diffusion-weighted FSE using PROPELLER MRI. Magnetic Resonance in Medicine 47:42−52 doi: 10.1002/mrm.10014 |
| [16] |
Zhou HQ, Tan P, Hou CG. 2008. A Voronoi diagram-based algorithm for the gridding of PROPELLER MRI data. Journal of University of Science and Technology of China 38(7):782−86 |
| [17] |
Kalabokidis K, Athanasis N, Gagliardi F, Karayiannis F, Palaiologou P, et al. 2013. Virtual Fire: a web-based GIS platform for forest fire control. Ecological Informatics 16:62−69 doi: 10.1016/j.ecoinf.2013.04.007 |
| [18] |
Wang M, Liu H, Chen F, Liu J. 2015. Forest fire warning system based on GIS and WSNs. 2015 4th International Conference on Advanced Information Technology and Sensor Application (AITS), Harbin, China, 21-23 August 2015. USA: IEEE. pp. 3−6. https://doi.org/10.1109/AITS.2015.8 |
| [19] |
Cai J, Zhang Z, Ran G, Li Z, Li L. 2023. the fire smoke detection algorithm based on improved YOLOv5s research. Intelligent Computer and Applications 13(5):75−81 (In Chinese) doi: 10.3969/j.issn.2095-2163.2023.05.013 |
| [20] |
Wang Y, Xiao X, Wang P, Xiang J. 2023. Improved YOLOv5s small target smoke and fire detection algorithm. Computer Engineering and Applications 59(1):72−81 (In Chinese) |
| [21] |
Ma Q, Lu J, Tang X, Duan X. 2023. Improved YOLOv5s flame and smoke detection method in road tunnels. Journal of Zhejiang University (Engineering Science) 757(4):784−794+813 (In Chinese) |
| [22] |
Wang L, He M, Xu S, Yuan T, Zhao T, et al. 2021. Garbage classification and detection based on YOLOv5s. Packaging Engineering 42(8):50−56 (In Chinese) doi: 10.19554/j.cnki.1001-3563.2021.08.007 |