Fábbio Anderson Silva Borges

According to our database, Fábbio Anderson Silva Borges authored at least 7 papers between 2018 and 2021.

Collaborative distances:

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

2021

A Deep Learning Approach for the Detection and Classification of Power Quality Disturbances with Windowed Signals.

Wilson Leal Rodrigues Junior, Fábbio Anderson Silva Borges, Antonio Oseas de Carvalho Filho, Ricardo de A. L. Rabelo

SN Comput. Sci., 2021

2020

Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System.

Wilson Leal Rodrigues Junior, Dyôgo Medeiros Reis, Fábbio Anderson Silva Borges, Flávio Henrique Duarte de Araújo, Antônio Oséas de Carvalho Filho, Ricardo de Andrade Lira Rabelo

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

An Adaptive Guard Band Selection based on Convolutional Neural Network.

Wilson Leal Rodrigues Junior, Neclyeux Sousa Monteiro, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, André Castelo Branco Soares

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil.

Patrick Ryan Sales dos Santos, Lucas B. M. de Souza, Samuel P. B. D. Lélis, Hector B. Ribeiro, Fábbio Anderson Silva Borges, Romuere R. V. Silva, Antonio Oseas Carvalho Filho, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues

Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

2019

Classification of Power Quality Disturbances Using Convolutional Network and Long Short-Term Memory Network.

Wilson Leal Rodrigues Junior, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Bruno Vicente Alves de Lima, Jose Eduardo Almeida de Alencar

Proceedings of the International Joint Conference on Neural Networks, 2019

A Method for Voltage Sag Source Location Using Clustering Algorithm and Decision Rule Labeling.

José Carlos C. L. da Silva Filho, Fábbio Anderson Silva Borges, Ricardo de Andrade Lira Rabelo, Ivan Saraiva Silva

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Multi-Objective Demand Response Optimization Model for Scheduling Loads in a Home Energy Management System.

Jaclason M. Veras, Igor Rafael Santos da Silva, Plácido Rogério Pinheiro, Ricardo A. L. Rabêlo, Artur Felipe da Silva Veloso, Fábbio Anderson Silva Borges, Joel J. P. C. Rodrigues

Sensors, 2018