| An Application-Driven Framework for Intelligent Transportation Systems Using 5G Network Slicing T do Vale Saraiva, CAV Campos, R dos Reis Fontes, CE Rothenberg, ... IEEE Transactions on Intelligent Transportation Systems, 2021 | 27 | 2021 |
| An approach using machine learning and public data to detect traffic jams T do Vale Saraiva, CAV Campos 2021 International Wireless Communications and Mobile Computing (IWCMC), 675-680, 2021 | 2 | 2021 |
| Realistic Vehicular Networks Simulations T do Vale Saraiva, CAV Campos Smart and Digital Cities, 161-180, 2019 | 1 | 2019 |
| Machine learning applied to network traffic for vehicular applications to predict the vehicle context T do Vale Saraiva, R Girardi, CAV Campos 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-5, 2021 | | 2021 |
| An application-driven framework for intelligent transportation systems using software-defined vehicular networks TV Saraiva | | 2018 |
| O impacto na comunicaç ao das redes veiculares em funç ao de parâmetros escolhidos em ambiente de simulaç ao realıstica T do Vale Saraiva, CAV Campos | | 2017 |
| Comunicaçoes veiculares em cenários realısticos usando diferentes traces de mobilidade T do Vale Saraiva, CAV Campos | | 2017 |
Carlos Alberto Vieira CamposFederal University of the State of Rio de Janeiro - UNIRIO, BrazilVerified email at uniriotec.br
