Cláudio Marques de Sá Medeiros

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Regression Methods

Multiresolution

Machine Learning

Induction Motor

Top Venues

Comput. Electr. Eng.

Future Gener. Comput. Syst.

Publications

Rebeca Guerreiro Carvalho Cunha, Elias Teodoro da Silva Jr., Cláudio Marques de Sá Medeiros
Machine learning and multiresolution decomposition for embedded applications to detect short-circuit in induction motors. Comput. Ind. 129 (2021)
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 (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)
Igor Rocha de Sousa, Rogerio Vieira de Oliveira Segundo, Cláudio Marques de Sá Medeiros, Elias Teodoro Silva
Estimation of global solar irradiance with LDR sensor and artificial neural network embedded in an 8-bit microcontroller. 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)
Rebeca Guerreiro Carvalho Cunha, Elias Teodoro da Silva Júnior, Cláudio Marques de Sá Medeiros
An Embedded Application to Identify Degradation in Energized Polymeric Insulators Using Machine Learning and Wavelet Transform. SBESC (2018)
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)
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)
Renan Gomes Vieira, Rebeca Guerreiro C. Cunha, Cláudio Marques de Sá Medeiros, Elias Teodoro Silva Jr.
Embedding a Neural Classifier to Detect Faults in a Three-Phase Induction Motor. SBESC (2016)