6 citations · 14 across the 16 of their papers we have counts for
17 papers
An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks
Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Tereza Cristina Carvalho +1
In Beyond 5G (B5G) networks, intelligent, flexible traffic management is essential to meet the stringent speed and reliability requirements of new applications. This paper presents…
Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
Yasmin Souza Lima, Rodrigo Moreira, Larissa F. Rodrigues Moreira +2
Unsupervised anomaly detection is widely used to detect Distributed Denial-of-Service (DDoS) attacks in cloud-native 5G networks, yet most studies assume a fixed traffic representa…
Asynchronous Probability Ensembling for Federated Disaster Detection
Emanuel Teixeira Martins, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira +3
Quick and accurate emergency handling in Disaster Decision Support Systems (DDSS) is often hampered by network latency and suboptimal application accuracy. While Federated Learning…
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima +3
Convolutional Neural Networks (CNNs) have proven to be highly effective in solving a broad spectrum of computer vision tasks, such as classification, identification, and segmentati…
NeuroScaler: Towards Energy-Optimal Autoscaling for Container-Based Services
Alisson O. Chaves, Rodrigo Moreira, Larissa F. Rodrigues Moreira +7
Future networks must meet stringent requirements while operating within tight energy and carbon constraints. Current autoscaling mechanisms remain workload-centric and infrastructu…
Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification
Thamara Leandra de Deus Melo, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira +1
Efficient brain tumor diagnosis is crucial for early treatment; however, it is challenging because of lesion variability and image complexity. We evaluated convolutional neural net…