Navar Medeiros M. e Nascimento

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 7

Top Topics

Machine Learning

Monocular Images

Top Venues

Comput. Electr. Eng.

Circuits Syst. Signal Process.

Publications

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
Gender-based approach to estimate the human body fat percentage using Machine Learning. IJCNN (2021)
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
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators. Appl. Soft Comput. 101 (2021)
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
Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence. Circuits Syst. Signal Process. 39 (2) (2020)
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
Evaluation of Heart Disease Diagnosis Approach using ECG Images. IJCNN (2019)
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
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning. BRACIS (2019)
Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques de Sá Medeiros
Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach. IJCNN (2018)
Pedro Pedrosa Rebouças Filho, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque
A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning. Comput. Electr. Eng. 71 (2018)