Navar de Medeiros Mendonça e Nascimento

According to our database, Navar de Medeiros Mendonça e Nascimento authored at least 11 papers between 2017 and 2021.

Collaborative distances:

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

2021

Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators.

Yongzhao Xu, Navar Medeiros M. e Nascimento, Pedro Henrique Feijo de Sousa, Fabricio Gonzalez Nogueira, Bismark C. Torrico, Tao Han, Chuanyu Jia, Pedro Pedrosa Rebouças Filho

Appl. Soft Comput., 2021

Gender-based approach to estimate the human body fat percentage using Machine Learning.

Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence.

Navar Medeiros M. e Nascimento, Leandro Bezerra Marinho, Solon Alves Peixoto, João Paulo do Vale Madeiro, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

Circuits Syst. Signal Process., 2020

2019

A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification.

Leandro Bezerra Marinho, Navar de Medeiros Mendonça e Nascimento, João Wellington M. Souza, Mateus Valentim Gurgel, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque

Future Gener. Comput. Syst., 2019

Energy production predication via Internet of Thing based machine learning system.

Pedro Pedrosa Rebouças Filho, Samuel Luz Gomes, Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Fatma Outay, Victor Hugo C. de Albuquerque

Future Gener. Comput. Syst., 2019

Evaluation of Heart Disease Diagnosis Approach using ECG Images.

Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2019

A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning.

Suane Pires Pinheiro da Silva, Paulo Honório Filho, Leandro Bezerra Marinho, Jefferson S. Almeida, Navar Medeiros M. e Nascimento, Antonio Wendell De Oliveira Rodrigues, Pedro Pedrosa Rebouças Filho

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning.

Pedro Pedrosa Rebouças Filho, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque

Comput. Electr. Eng., 2018

Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach.

Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques de Sá Medeiros

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast.

Pedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araújo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments.

Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems Design and Applications, 2017