Co-Route Fiber Identification with Cable and Trench Classification Based-On GAN and Few-Shot Meta Learning
We achieved 99% accuracy in identifying co-route fibers using GAN and few-shot meta-learning, with 99% classification accuracy in trenches and 98% in cables few-shot classification, significantly improving optical network survivability and reliability.
Authors
- Hui Yang (ORCID: https://orcid.org/0009-0005-2034-7735)
- Zhiwei Wang (ORCID: https://orcid.org/0009-0000-1228-5697)
- Yucong Liu (ORCID: https://orcid.org/0000-0002-3753-9670)
- Jie Zhang (ORCID: https://orcid.org/0000-0002-1452-4978)
- Qiuyan Yao (ORCID: https://orcid.org/0000-0001-8753-6489)
- Yunbo Li (ORCID: https://orcid.org/0009-0008-0642-3641)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- China Mobile (China) (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809834
- Citations
- 1
- Primary Topic
- Railway Engineering and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.21