Generation of a Synthetic Database for Dual-Point Fiber Sensor Based on a Machine Learning Algorithm
Use of nonlinearity in wavelength-scanning of a diode-laser for generating a reliable synthetic database of a sensing signal is proposed. This database is implemented in a dual-point fiber sensor to train a machine learning algorithm. © 2024 The Author(s)
Authors
- Rodolfo Martínez-Manuel (ORCID: https://orcid.org/0000-0002-7299-3924)
- Luis M. Valentín-Coronado (ORCID: https://orcid.org/0000-0002-9874-4088)
- Jonathan Esquivel-Hernández (ORCID: https://orcid.org/0000-0002-9835-5533)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676709
- Primary Topic
- Advanced Fiber Optic Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00