Silvia Lins

Orcid: 0000-0001-5160-7177

According to our database1, Silvia Lins authored at least 15 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Modeling and assessing an intelligent system for safety in human-robot collaboration using deep and machine learning techniques.
Multim. Tools Appl., 2022

Faulty RJ45 connectors detection on radio base station using deep learning.
Multim. Tools Appl., 2022

Video object segmentation for automatic image annotation of ethernet connectors with environment mapping and 3D projection.
Multim. Tools Appl., 2022

Correction to: Rbot: development of a robot‑driven radio base station maintenance system.
Int. J. Intell. Robotics Appl., 2022

Rbot: development of a robot-driven radio base station maintenance system.
Int. J. Intell. Robotics Appl., 2022

Ray-Tracing MIMO Channel Dataset for Machine Learning Applied to V2V Communication.
Proceedings of the IEEE Latin-American Conference on Communications, 2022

Compression of Activation Signals from Split Deep Neural Network.
Proceedings of the IEEE Latin-American Conference on Communications, 2022

2021
Gripper Design for Radio Base Station Autonomous Maintenance System.
Int. J. Autom. Comput., 2021

Policy Distillation for Real-Time Inference in Fronthaul Congestion Control.
IEEE Access, 2021

Artificial Intelligence for Enhanced Mobility and 5G Connectivity in UAV-Based Critical Missions.
IEEE Access, 2021

Rainbow deep reinforcement learning for TCP congestion control.
Proceedings of the IEEE Latin-American Conference on Communications, 2021

2020
Testbed for 5G Connected Artificial Intelligence on Virtualized Networks.
IEEE Access, 2020

Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Deep Reinforcement Learning Applied to Congestion Control in Fronthaul Networks.
Proceedings of the 2019 IEEE Latin-American Conference on Communications, 2019


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