Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN networks

Literals

dcterms:publisher
- Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023, NOMS 2023
ou:eid
- 2-s2.0-85164706439
dcterms:contributor
- León, L.J.M.; Herrera, J.L.; Berrocal, J.; Galán-Jiménez, J.
dcterms:creator
- León L.J.M.
bibo:doi
- 10.1109/noms56928.2023.10154303
ou:bibtex
- @article{Herrera2023,title = {Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN networks},journal = {Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023, NOMS 2023},year = {2023},author = {Le{\'o}n, L.J.M. and Herrera, J.L. and Berrocal, J. and Gal{\'a}n-Jim{\'e}nez, J.}}
fabio:hasPublicationYear
- 2023
vivo:identifier
- 2023-2603
bibo:isbn
- 9781665477161
ou:tipoPublicacion
- Conference Paper
dcterms:title
- Logistic Regression-based Solution to Predict the Transport Assistant Placement in SDN networks
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85164706439&origin=inward
ou:urlOrcid
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85164706439&partnerID=MN8TOARS
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85164706439&origin=inward