1. Lee, W., Kim, S., Lee, Y., Lee, H. Choi, M.: Deep neural networks for wild fire detection with unmanned aerial vehicle. In: 2017 IEEE International Conference on Consumer Electronics (ICCE) (2017)
2. Selvaraju, R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-CAM: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference On Computer Vision, pp. 618–626 (2017)
3. Horng, W., Peng, J., Chen, C.: A new image-based real-time flame detection method using color analysis. In: Proceedings of the 2005 IEEE Networking, Sensing and Control, pp. 100–105 (2005)
4. Yuan, C., Liu, Z., Zhang, Y.: Vision-based forest fire detection in aerial images for firefighting using UAVs. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1200–1205 (2016)
5. Iqbal, M., Setianingsih, C., Irawan, B.: Deep learning algorithm for fire detection. In: 2020 10th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), pp. 237–242 (2020)