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Time-Efficient Convolutional Neural Network-Assisted Brillouin Optical Frequency Domain Analysis
To our knowledge, this is the first report on a machine-learning-assisted Brillouin optical frequency domain analysis (BOFDA) for time-efficient temperature measurements. We propose a convolutional neural network (CNN)-based signal post-processing method that, compared to the conventional Lorentzian...
Tallennettuna:
| Julkaisussa: | Sensors (Basel) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8068849/ https://ncbi.nlm.nih.gov/pubmed/33924337 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21082724 |
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