Generative AI for Fire Safety-Reference-Cited by-同舟云学术

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Generative AI for Fire Safety

Published:2024 Issue: Volume: Page:577-600
ISSN:
Container-title:Applications of Generative AI
language:en
Short-container-title:

Author:

Mozaffari M. Hamed,Li Yuchuan,Ko Yoon

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-46238-2_29

Reference51 articles.

1. Wang, F., Jiang, M., Qian, C., Yang, S., Li, C., Zhang, H., Wang, X., & Tang, X. (2017). Residual attention network for image classification (pp. 3156–3164). https://openaccess.thecvf.com/content_cvpr_2017/html/Wang_Residual_Attention_Network_CVPR_2017_paper.html

2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), Article 7553. https://doi.org/10.1038/nature14539

3. Rajoub, B. (2020). Chapter 3—Supervised and unsupervised learning. In W. Zgallai (Ed.), Biomedical signal processing and artificial intelligence in healthcare (pp. 51–89). Academic Press. https://doi.org/10.1016/B978-0-12-818946-7.00003-2

4. Mozaffari, M. H. (2020). A real-time and automatic ultrasound-enhanced multimodal second language training system: A deep learning approach [Ph.D. Thesis, Université d’Ottawa/University of Ottawa]. https://doi.org/10.20381/ruor-24710

5. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.

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