Unleashing potentials with deep learning: decoding the complex events for distributed fiber optic sensing applications

Author:

Li Yujiao,Hu Liqin,Yu Kuanglu

Publisher

Springer Science and Business Media LLC

Reference5 articles.

1. Grollmisch S, Cano E. Improving semi-supervised learning for audio classification with FixMatch. Electronics, 2021, 10: 1807

2. Wang Y D, Chen H, Heng Q, et al. FreeMatch: self-adaptive thresholding for semi-supervised learning. In: Proceedings of the International Conference on Learning Representation, Kigali, 2023

3. Sohn K, Berthelot D, Carlini N, et al. FixMatch: simplifying semi-supervised learning with consistency and confidence. In: Proceedings of the International Conference on Advances in Neural Information Processing Systems, 2020. 33: 596–608

4. Li Y J, Cao X M, Ni W H, et al. A deep learning model enabled multi-event recognition for distributed optical fiber sensing. Sci China Inf Sci, 2024, 67: 132404

5. Lee D H. Pseudo-label: the simple and efficient semi-supervised learning method for deep neural networks. In: Proceedings of Workshop on Challenges in Representation Learning, Atlanta, 2013. 3: 896

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