Cláudio M. S. Medeiros

According to our database, Cláudio M. S. Medeiros authored at least 20 papers between 2007 and 2021.

Collaborative distances:

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

2021

Machine learning and multiresolution decomposition for embedded applications to detect short-circuit in induction motors.

Rebeca Guerreiro Carvalho Cunha, Elias Teodoro da Silva Jr., Cláudio Marques de Sá Medeiros

Comput. Ind., 2021

2020

Decision Support Software for Melanoma Skin Cancer Detection (DECIME).

Carlos E. B. Sousa, Leonardo B. G. Nascimento, Cláudio M. S. Medeiros, Mauro Oliveira, Iago Avelino Trajano

Proceedings of the First International AAI4H, 2020

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

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison.

Diego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 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

An Embedded Application to Identify Degradation in Energized Polymeric Insulators Using Machine Learning and Wavelet Transform.

Rebeca Guerreiro Carvalho Cunha, Elias Teodoro da Silva Júnior, Cláudio Marques de Sá Medeiros

Proceedings of the VIII Brazilian Symposium on Computing Systems Engineering, 2018

Estimation of global solar irradiance with LDR sensor and artificial neural network embedded in an 8-bit microcontroller.

Igor Rocha de Sousa, Rogerio Vieira de Oliveira Segundo, Cláudio Marques de Sá Medeiros, Elias Teodoro Silva

Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Goat Leather Quality Classification Using Computer Vision and Machine Learning.

Renato F. Pereira, Cláudio M. S. Medeiros, Pedro Pedrosa Rebouças Filho

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

Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs.

David N. Coelho, Guilherme A. Barreto, Cláudio M. S. Medeiros

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 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

2016

Embedding a Neural Classifier to Detect Faults in a Three-Phase Induction Motor.

Renan Gomes Vieira, Rebeca Guerreiro C. Cunha, Cláudio Marques de Sá Medeiros, Elias Teodoro Silva Jr.

Proceedings of the VI Brazilian Symposium on Computing Systems Engineering, 2016

Classification and sensitivity analysis to detect fault in induction motors using an MLP network.

Renan Gomes Vieira, Cláudio M. S. Medeiros, Elias Teodoro Silva Jr.

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor.

David N. Coelho, Guilherme De A. Barreto, Cláudio M. S. Medeiros, José Daniel Alencar Santos

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013

A novel weight pruning method for MLP classifiers based on the MAXCORE principle.

Cláudio M. S. Medeiros, Guilherme De A. Barreto

Neural Comput. Appl., 2013

2012

Short Circuit Incipient Fault Detection and Supervision in a Three-Phase Induction Motor with a SOM-Based Algorithm.

David N. Coelho, Cláudio M. S. Medeiros

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

2010

Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach.

José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2007

Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors.

Cláudio M. S. Medeiros, Guilherme De A. Barreto

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors.

Cláudio M. S. Medeiros, Guilherme De A. Barreto

Proceedings of the Artificial Neural Networks, 2007