20 citations · 20 across the 8 of their papers we have counts for
8 papers
DualPI2 Active Queue Management in ns-3: Implementation And Validation
Maria Eduarda Veras, Eduardo Freitas, Assis T. de Oliveira Filho +2
The demand for ultra-low latency applications necessitates advanced network architectures like the Low Latency, Low Loss, and Scalable Throughput (L4S) standard. A core component o…
Implementing the L4S Architecture in the ns-3 Simulator
Maria Eduarda Veras, Eduardo Freitas, Assis T. de Oliveira Filho +2
The demand for ultra-low latency in modern applications, such as cloud gaming and augmented reality, has exposed the limitations of traditional congestion control algorithms regard…
Data analysis of cloud virtualization experiments
Pedro R. X. do Carmo, Eduardo Freitas, Assis T. de Oliveira Filho +2
The cloud computing paradigm underlines data center and telecommunication infrastructure design. Heavily leveraging virtualization, it slices hardware and software resources into s…
Digital Twin Synchronization: towards a data-centric architecture
Eduardo Freitas, Assis T. de Oliveira Filho, Pedro R. X. do Carmo +2
Digital Twin (DT) technology revolutionizes industrial processes by enabling the representation of physical entities and their dynamics to enhance productivity and operational effi…
Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform
Pedro R. X. Carmo, Igor de Moura, Assis T. de Oliveira Filho +2
Modern vehicles are increasingly connected, and in this context, automotive Ethernet is one of the technologies that promise to provide the necessary infrastructure for intra-vehic…
A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models
Iago Richard Rodrigues, Marrone Dantas, Assis Oliveira Filho +7
Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of collaborative robots increases efficiency and productivity in the automation process. Howev…
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
Marrone Silvério Melo Dantas, Iago Richard Rodrigues, Assis Tiago Oliveira Filho +6
IoT devices suffer from resource limitations, such as processor, RAM, and disc storage. These limitations become more evident when handling demanding applications, such as deep lea…
Predicting Short-term Mobile Internet Traffic from Internet Activity using Recurrent Neural Networks
Guto Leoni Santos, Pierangelo Rosati, Theo Lynn +3
Mobile network traffic prediction is an important input in to network capacity planning and optimization. Existing approaches may lack the speed and computational complexity to acc…