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Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data
Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying imbalanced compensation techniques when using bina...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623617/ https://www.ncbi.nlm.nih.gov/pubmed/34828202 http://dx.doi.org/10.3390/e23111504 |