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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cichosz, Paweł, Kozdrowski, Stanisław, Sujecki, Sławomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623617/
https://www.ncbi.nlm.nih.gov/pubmed/34828202
http://dx.doi.org/10.3390/e23111504

Ejemplares similares