Cláudio M. S. Medeiros

According to our database1, Cláudio M. S. Medeiros authored at least 18 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Energy production predication via Internet of Thing based machine learning system.
Future Generation Comp. Syst., 2019

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison.
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.
Computers & Electrical Engineering, 2018

An Embedded Application to Identify Degradation in Energized Polymeric Insulators Using Machine Learning and Wavelet Transform.
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.
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Goat Leather Quality Classification Using Computer Vision and Machine Learning.
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.
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.
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.
Proceedings of the Intelligent Systems Design and Applications, 2017

2016
Embedding a Neural Classifier to Detect Faults in a Three-Phase Induction Motor.
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.
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.
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.
Neural Computing and Applications, 2013

2012
Short Circuit Incipient Fault Detection and Supervision in a Three-Phase Induction Motor with a SOM-Based Algorithm.
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.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2007
Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors.
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.
Proceedings of the Artificial Neural Networks, 2007


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