Open Access
Issue
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
Article Number 03069
Number of page(s) 4
Section Environmental Equipment Engineering Management and its Technical Application
DOI https://doi.org/10.1051/e3sconf/202125303069
Published online 06 May 2021
  1. H. Li, M. Lu, S.-C. Hsu, M. Gray, and T. Huang, “Proactive behavior-based safety management for construction safety improvement,” Safety science, vol. 75, pp. 107–117, 2015. [Google Scholar]
  2. Fire and Rescue Department Ministry of Emergency Management. (2019). National fire reports in 2019. Available: https://www.119.gov.cn/article/3xBeEJjR54K [Google Scholar]
  3. G. Lin, Y. Zhang, G. Xu, and Q. Zhang, “Smoke detection on video sequences using 3D convolutional neural networks,” Fire Technology, vol. 55, pp. 1827–1847, 2019. [Google Scholar]
  4. Z. Jiao, Y Zhang, J. Xin, L. Mu, Y. Yi, H. Liu,et al., “A deep learning based forest fire detection approach using UAV and YOLOv3,” in 2019 1st International Conference on Industrial Artificial Intelligence (IAI), 2019, pp. 1–5. [Google Scholar]
  5. K.B. Lee and H. S. Shin, “An application of a deep learning algorithm for automatic detection of unexpected accidents under bad CCTV monitoring conditions in tunnels,” in 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), 2019, pp. 7–11. [Google Scholar]
  6. J. Redmon and A. Farhadi, “Yolov3: An incremental improvement,” arXiv preprint arXiv:1804.02767, 2018. [Google Scholar]
  7. T.-Y. Lin, P Dollar, R. Girshick, K. He, B. Hariharan, and S. Belongie, “Feature pyramid networks for object detection,” in Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp. 2117–2125. [Google Scholar]
  8. S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: towards real-time object detection with region proposal networks,” IEEE transactions on pattern analysis and machine intelligence, vol. 39, pp. 1137–1149, 2016. [Google Scholar]

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