%0 Conference Paper %1 conf/inns-dlia/AlvesGBRFMSFANF23 %A Alves, Pedro V. A. %A Goldbarg, Mateus A. S. S. %A Barros, Wysterlânya K. P. %A Rego, Iago D. %A Filho, Vinícius J. M. T. %A de M. Martins, Allan %A de Sousa Jr., Vicente A. %A dos Reis Fontes, Ramon %A da Silva Aranha, Eduardo Henrique %A Neto, Augusto José Venâncio %A Fernandes, Marcelo A. C. %B INNS DLIA@IJCNN %D 2023 %E Jayne, Chrisina %E Mandic, Danilo P. %E Duro, Richard J. %I Elsevier %K dblp %P 81-93 %T Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture. %U http://dblp.uni-trier.de/db/conf/inns-dlia/inns-dlia2023.html#AlvesGBRFMSFANF23 %V 222

@inproceedings{conf/inns-dlia/AlvesGBRFMSFANF23, added-at = {2024-08-21T00:00:00.000+0200}, author = {Alves, Pedro V. A. and Goldbarg, Mateus A. S. S. and Barros, Wysterlânya K. P. and Rego, Iago D. and Filho, Vinícius J. M. T. and de M. Martins, Allan and de Sousa Jr., Vicente A. and dos Reis Fontes, Ramon and da Silva Aranha, Eduardo Henrique and Neto, Augusto José Venâncio and Fernandes, Marcelo A. C.}, biburl = {https://www.bibsonomy.org/bibtex/2d90588cb640e223a0f945fd3fc6936fd/dblp}, booktitle = {INNS DLIA@IJCNN}, crossref = {conf/inns-dlia/2023}, editor = {Jayne, Chrisina and Mandic, Danilo P. and Duro, Richard J.}, ee = {https://doi.org/10.1016/j.procs.2023.08.146}, interhash = {9deb56931dc57edb08e28ea0765ca3c0}, intrahash = {d90588cb640e223a0f945fd3fc6936fd}, keywords = {dblp}, pages = {81-93}, publisher = {Elsevier}, series = {Procedia Computer Science}, timestamp = {2024-08-26T07:53:24.000+0200}, title = {Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture.}, url = {http://dblp.uni-trier.de/db/conf/inns-dlia/inns-dlia2023.html#AlvesGBRFMSFANF23}, volume = 222, year = 2023 }