Author:
Ibraheem Noor A.,Abdulhadi Noor M.,Hasan Mokhtar M.
Reference33 articles.
1. Shokouhi, M., Nasiriani, K., Khankeh, H., Fallahzadeh, H., Khorasani-Zavareh, D.: Exploring barriers and challenges in protecting residential fire-related injuries: a qualitative study. J. Inj. Violence Res. 11(1), 81–92 (2019)
2. Kodur, V., Kumar, P., Rafi, M.M.: Fire hazard in buildings: review, assessment and strategies for improving fire safety. PSU Res. Rev. 4(1), 1–23 (2019)
3. Salhi, L., Silverston, T., Yamazaki, T., Miyoshi, T.: Early detection system for gas leakage and fire in smart home using machine learning. In: 2019 IEEE International Conference on Consumer Electronics (ICCE), pp. 1–6. Las Vegas, NV, USA (2019)
4. Zhang, B., Sun, L., Song, Y., Shao, W., Guo, Y., Yuan, F.: DeepFireNet: a real-time video fire detection method based on multi-feature fusion. Math. Biosci. Eng.: MBE 17(6), 7804–7818 (2020)
5. Mahzan, N.N., Enzai, N.M., Zin, N.M., Noh, K.S.S.K.M.: Design of an Arduino-based home fire alarm system with GSM module. J. Phys.: Conf. Ser. 1019(1) (2018). Art. No. 012079