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Silvia Lins
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2020 – today
- 2024
- [i1]Jean Paulo Martins, Igor Almeida, Ricardo S. Souza, Silvia Lins:
Closed-form congestion control via deep symbolic regression. CoRR abs/2405.01435 (2024) - 2022
- [j9]Djamel Sadok, Daniel Bezerra, Marrone Dantas, Gabriel Reis, Pedro Henrique Dreyer Leuchtenberg, Carolina C. D. Ledebour, Ricardo S. Souza, Silvia Lins, Maria V. Marquezini, Judith Kelner:
Rbot: development of a robot-driven radio base station maintenance system. Int. J. Intell. Robotics Appl. 6(2): 270-287 (2022) - [j8]Djamel Sadok, Daniel Bezerra, Marrone Dantas, Gabriel Reis, Pedro Henrique Dreyer Leuchtenberg, Carolina C. D. Ledebour, Ricardo S. Souza, Silvia Lins, Maria V. Marquezini, Judith Kelner:
Correction to: Rbot: development of a robot‑driven radio base station maintenance system. Int. J. Intell. Robotics Appl. 6(3): 586 (2022) - [j7]Iago Richard Rodrigues Silva, Gibson B. N. Barbosa, Assis T. Oliveira Filho, Carolina Cani D. L., Marrone Dantas, Djamel H. Sadok, Judith Kelner, Ricardo S. Souza, Maria Valéria Marquezini, Silvia Lins:
Modeling and assessing an intelligent system for safety in human-robot collaboration using deep and machine learning techniques. Multim. Tools Appl. 81(2): 2213-2239 (2022) - [j6]Marrone Silvério Melo Dantas, Pedro Henrique Dreyer Leuchtenberg, Gabriel Fonseca Reis de Souza, Daniel Bezerra, Ricardo S. Souza, Silvia Lins, Judith Kelner, Djamel Fawzi Hadj Sadok:
Faulty RJ45 connectors detection on radio base station using deep learning. Multim. Tools Appl. 81(21): 30305-30327 (2022) - [j5]Marrone Dantas, Pedro Dreyer, Daniel Bezerra, Gabriel Reis, Ricardo S. Souza, Silvia Lins, Judith Kelner, Djamel Sadok:
Video object segmentation for automatic image annotation of ethernet connectors with environment mapping and 3D projection. Multim. Tools Appl. 81(28): 39891-39913 (2022) - [c6]Flávio Brito, Lucas Silva, Leonardo Ramalho, Silvia Lins, Neiva Linder, Aldebaro Klautau:
Compression of Activation Signals from Split Deep Neural Network. LATINCOM 2022: 1-6 - [c5]Daniel Suzuki, Ailton de Oliveira, Luan Gonçalves, Ilan Correa, Aldebaro Klautau, Silvia Lins, Pedro Batista:
Ray-Tracing MIMO Channel Dataset for Machine Learning Applied to V2V Communication. LATINCOM 2022: 1-6 - 2021
- [j4]Silvia Lins, Kleber Vieira Cardoso, Cristiano Bonato Both, Luciano Leonel Mendes, José Ferreira de Rezende, Antonio Silveira, Neiva Linder, Aldebaro Klautau:
Artificial Intelligence for Enhanced Mobility and 5G Connectivity in UAV-Based Critical Missions. IEEE Access 9: 111792-111801 (2021) - [j3]Jean Paulo Martins, Igor Almeida, Ricardo S. Souza, Silvia Lins:
Policy Distillation for Real-Time Inference in Fronthaul Congestion Control. IEEE Access 9: 154471-154483 (2021) - [j2]Gabriel Reis, Marrone Dantas, Daniel Bezerra, Gibson B. N. Barbosa, Pedro Dreyer, Carolina Cani D. L., Judith Kelner, Djamel Sadok, Ricardo S. Souza, Silvia Lins, Maria V. Marquezini:
Gripper Design for Radio Base Station Autonomous Maintenance System. Int. J. Autom. Comput. 18(4): 645-653 (2021) - [c4]Jean Paulo Martins, Ricardo S. Souza, Igor Almeida, Silvia Lins:
Rainbow deep reinforcement learning for TCP congestion control. LATINCOM 2021: 1-6 - 2020
- [j1]Cleverson Veloso Nahum, Lucas De Nóvoa Martins Pinto, Virgínia Brioso Tavares, Pedro Batista, Silvia Lins, Neiva Linder, Aldebaro Klautau:
Testbed for 5G Connected Artificial Intelligence on Virtualized Networks. IEEE Access 8: 223202-223213 (2020) - [c3]Iago R. R. Silva, Gibson B. N. Barbosa, Carolina C. D. Ledebour, Assis T. Oliveira Filho, Judith Kelner, Djamel Sadok, Silvia Lins, Ricardo S. Souza:
Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments. BRACIS 2020: 240-255 - [c2]Ingrid Nascimento, Pedro Castro, Sofia Klautau, Luan Gonçalves, Carnot Filho, Flávio Brito, Aldebaro Klautau, Silvia Lins:
Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance. ICMLA 2020: 61-64
2010 – 2019
- 2019
- [c1]Ingrid Nascimento, Ricardo S. Souza, Silvia Lins, Andrey Silva, Aldebaro Klautau:
Deep Reinforcement Learning Applied to Congestion Control in Fronthaul Networks. LATINCOM 2019: 1-6
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last updated on 2024-06-10 20:30 CEST by the dblp team
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