Page 207 - Kỷ yếu hội thảo khoa học lần thứ 12 - Công nghệ thông tin và Ứng dụng trong các lĩnh vực (CITA 2023)

Cong Tung Dinh, Thu Huong Nguyen, Huyen Do Thi, Nam Anh Bui 191

16. Srinivas, K.; Dua, M. Fog Computing and Deep CNN Based Efficient Approach to Early
Forest Fire Detection with Unmanned Aerial Vehicles. In Proceedings of the International
Conference on Inventive Computation Technologies (ICICIT), Tamil Nadu, India, 29 30
August 2019; Smys, S., Bestak, R., Rocha, A., Eds.; Springer Nature: Chennai, India,
2019; pp. 646 652.
17. Zhao, Y.; Ma, J.; Li, X.; Zhang, J. Saliency Detection and Deep Learning-Based Forest
fire Identification in UAV Imagery. Sensors 2018, 18, 712.
18. Tang, Y.; Feng, H.; Chen, J.; Chen, Y. ForestResNet: A Deep Learning Algorithm for
Forest Image Classification. J. Physics Conf. Ser. 2021, 2024, 012053.
19. Park, M.; Tran, D.Q.; Lee, S.; Park, S. Multilabel Image Classification with Deep Transfer
Learning for Decision Support on Forest fire Response. Remote Sens. 2021, 13, 3985.
20. Sun, X.; Sun, L.; Huang, Y. Forest fire smoke recognition based on convolutional neural
network. J. For. Res. 2020, 32, 1921 1927.
21. Chollet, F. Xception: Deep Learning with Depthwise Separable Convolutions. In
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), Honolulu, HI, USA, 21 26 July 2017; IEEE: Piscataway, NJ, USA; pp. 1800
1807.
22. Szegedy, C.; Vanhoucke, V.; Ioffe, S.; Shlens, J.; Wojna, Z. Rethinking the Inception
Architecture for Computer Vision. In Proceedings of the IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27 30 June 2016; IEEE:
Piscataway, NJ, USA, 2016, pp. 2818 2826.
23. He, K.; Zhang, X.; Ren, S.; Sun, J. Identity Mappings in Deep Residual Networks. In
Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, The
Netherlands, 11 14 October 2016, Springer International Publishing: New York, NY,
USA; pp. 630 645.
24. A. Khan, B. Hassan, S. Khan, R. Ahmed and A. Adnan,

System, vol. 2022, pp. 5358359, 2022.

ISBN: 978-604-80-8083-9 CITA 2023