Erick A. Barboza

According to our database, Erick A. Barboza authored at least 20 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

AI-Driven Reliability Through Anomaly Detection System in Industry 4.0.

Igor Wiese, George da Silva B. Souza, Jairo Souza, Leo Fernandes, Maria Eduarda T. S. Ikeda, Daniel Oliveira dos Santos, Ismael Trindade Fraga, Renato Torres Pinto, Erick A. Barboza, Baldoino Fonseca, Márcio Ribeiro

Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, 2025

Case Study: Applying Fuzzing to REST APIs in a Large-Scale Industrial Setting.

Leo Fernandes, João Vitor Souza Rocha, Igor Wiese, João Lucas Correia, Ismael Trindade Fraga, Renato Torres Pinto, Erick A. Barboza, Baldoino Fonseca, Márcio Ribeiro

Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, 2025

Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions.

Itallo Patrick Castro Alves Da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza, Baldoino Fonseca dos Santos Neto, Márcio de Medeiros Ribeiro

Proceedings of the International Conference on Machine Learning and Applications, 2025

From Code to Field: Evaluating the Robustness of Convolutional Neural Networks for Disease Diagnosis in Mango Leaves.

Gabriel Vitorino de Andrade, Saulo Roberto dos Santos, Itallo Patrick Castro Alves da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024

An energy efficient TinyML model for a water potability classification problem.

Emanuel Pereira, Jeferson Fernando da Silva Santos, Erick de Andrade Barboza

Sustain. Comput. Informatics Syst., 2024

Comparing TinyML Models and Libraries for On-Device Water Potability Classification.

Emanuel Pereira, Jeferson Fernando da Silva Santos, Erick de Andrade Barboza

Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024

TinyPPE: Ensuring Workplace Safety Helmet Compliance with Tiny Machine Learning.

Derek N. A. Alves, Erick de Andrade Barboza, Tiago F. Vieira

Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024

Battery-Less Sensor Tags with RFID: A Survey.

Luís Felipe Vieira Silva, Emanuel Pereira, Mateus Batista, Sandoval Júnior, Ícaro B. Q. de Araújo, Eliel Santos, Jobson de Araújo Nascimento, Erick de Andrade Barboza, Francisco Gomes, Ismael Trindade Fraga, Roger Davanso, Daniel Oliveira dos Santos

Proceedings of the IEEE International Conference on RFID, 2024

2022

Defining amplifier's gain to maximize the transmission rate in optical systems using evolutionary algorithms and swarm intelligence.

Felipe C. N. O. Lima, Livisghton K. S. Araújo, Ségio A. Silva, Joaquim F. Martins-Filho, Danilo R. B. Araújo, Erick A. Barboza, Arysson S. Oliveira, Carmelo José Albanez Bastos Filho

Photonic Netw. Commun., 2022

2021

A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application.

Gustavo Costa Gomes de Melo, Igor Cavalcante Torres, Ícaro Bezzera Queiroz de Araújo, Davi Bibiano Brito, Erick de Andrade Barboza

Sensors, 2021

A FPGA-based accelerated architecture for the Continuous GRASP.

Bruno Nogueira, Erick de Andrade Barboza

Computing, 2021

Adapting Optical Amplifier Response Estimation to Consider Non-Flat Input Signals.

Allan Amaro Bezerra Da Silva, Erick de A. Barboza, Carmelo J. A. Bastos Filho, Joaquim F. Martins-Filho

Proceedings of the IEEE Latin-American Conference on Communications, 2021

Surrogate Model for Adaptive Control of Optical Amplifier Operating Point based on Machine Learning.

Leandro M. de Freitas, Erick de A. Barboza, Carmelo J. A. Bastos Filho, Joaquim F. Martins-Filho

Proceedings of the IEEE Latin-American Conference on Communications, 2021

2020

Maximizing the Transmission Rate in Optical Systems using Swarm Intelligence.

Felipe C. N. O. Lima, Erick A. Barboza, Joaquim F. Martins-Filho, Carmelo J. A. Bastos Filho

Proceedings of the IEEE Latin-American Conference on Communications, 2020

Investigating the Creation of a Surrogate Model for Adaptive Control of Amplifier Operating Point Using Machine Learning.

Carmelo J. A. Bastos Filho, Leandro M. de Freitas, Erick de A. Barboza, Joaquim F. Martins-Filho

Proceedings of the 22nd International Conference on Transparent Optical Networks, 2020

2017

Local and global approaches for the adaptive control of a cascade of amplifiers.

Erick de A. Barboza, Carmelo J. A. Bastos Filho, Joaquim F. Martins-Filho, Marcionilo J. da Silva, Leonardo D. Coelho, Uiara C. de Moura, Juliano R. F. Oliveira

Photonic Netw. Commun., 2017

Estimating the spectral gain and the noise figure of EDFA using artificial neural networks.

Carmelo J. A. Bastos Filho, Erick de A. Barboza, Joaquim F. Martins-Filho

Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

2011

Simple design of Raman fiber amplifiers using a multi-objective optimizer.

Carmelo J. A. Bastos Filho, Elliackin M. N. Figueiredo, Erick A. Barboza, Joaquim F. Martins-Filho, Marcelo Eduardo Vieira Segatto, S. Cani, Maria José Pontes

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

An efficient multi-objective evolutionary optimizer to design all-optical networks considering physical impairments and CAPEX.

Danilo R. B. Araujo, Carmelo J. A. Bastos Filho, Erick A. Barboza, Daniel A. R. Chaves, Joaquim F. Martins-Filho

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A performance comparison of multi-objective optimization evolutionary algorithms for all-optical networks design.

Danilo R. B. Araujo, Carmelo J. A. Bastos Filho, Erick A. Barboza, Daniel A. R. Chaves, Joaquim F. Martins-Filho

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, 2011