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Journal Articles
- 2021
[j5]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: 107053 (2021)- 2020
- [j4]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): 631-650 (2020) - 2019
- [j3]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:
Energy production predication via Internet of Thing based machine learning system. Future Gener. Comput. Syst. 97: 180-193 (2019) - [j2]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:
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification. Future Gener. Comput. Syst. 97: 564-577 (2019) - 2018
- [j1]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: 440-451 (2018)
Conference and Workshop Papers
- 2021
- [c6]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: 1-8 - 2019
- [c5]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: 222-227 - [c4]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: 1-7 - 2018
- [c3]Pedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araújo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros:
Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast. BRACIS 2018: 79-84 - [c2]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: 1-7 - 2017
- [c1]Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Pedro Pedrosa Rebouças Filho:
A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments. ISDA 2017: 124-133
Coauthor Index
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