Bruno Sielly Jales Costa

发表

A new evolving clustering algorithm for online data streams

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

A practical implementation of self-evolving cloud-based control of a pilot plant

Igor Skrjanc, Plamen Angelov, Saso Blazic, 2013, 2013 IEEE International Conference on Cybernetics (CYBCO).

Online fault detection based on Typicality and Eccentricity Data Analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Fuzzy Fault Detection and Diagnosis

Bruno Sielly Jales Costa, 2016 .

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

Plamen P. Angelov, Luiz Affonso Guedes, Bruno Sielly Jales Costa, 2015, Neurocomputing.

A visual protocol for autonomous landing of unmanned aerial vehicles based on fuzzy matching and evolving clustering

Vitor Rodrigues Greati, Bruno Sielly Jales Costa, Vinicius Campos Tinoco Ribeiro, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

AMBIENTE COMPUTACIONAL PARA DESENVOLVIMENTO DE APLICAÇÕES DE MONITORAMENTO E ANÁLISE DE PROCESSOS NA INDÚSTRIA DO PETRÓLEO

Luiz Affonso Guedes, Clauber Gomes Bezerra, Bruno Sielly Jales Costa, 2008 .

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

Radu-Emil Precup, Plamen Angelov, Moamar Sayed Mouchaweh, 2015, Comput. Ind..

Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

Bruno Sielly Jales Costa, 2014 .

An evolving approach to unsupervised and Real-Time fault detection in industrial processes

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, Expert Syst. Appl..

An evolving approach to data streams clustering based on typicality and eccentricity data analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2020, Inf. Sci..

A new unsupervised approach to fault detection and identification

Plamen P. Angelov, Luiz Affonso Guedes, Bruno Sielly Jales Costa, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Ambiente para desenvolvimento de aplicações fuzzy industriais

Bruno Sielly Jales Costa, 2009 .

Robust evolving controller for simulated surge tank and for real two-tank plant

Igor Skrjanc, Saso Blazic, Goran Andonovski, 2018, Autom..

Unsupervised classification of data streams based on Typicality and Eccentricity Data Analytics

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Robust evolving control of a two-tanks pilot plant

Goran Andonovski, Bruno Sielly Jales Costa, G. Andonovski, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

A comparative study of autonomous learning outlier detection methods applied to fault detection

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Real-Time Fault Detection Using Recursive Density Estimation

Plamen Angelov, Luiz Affonso Guedes, Bruno Sielly Jales Costa, 2014, Journal of Control, Automation and Electrical Systems.

RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems

Plamen P. Angelov, Luiz Affonso Guedes, Clauber Gomes Bezerra, 2015, SLDS.

Evolving Background Subtraction for Dynamic Lighting Scenarios

Bruno Sielly Jales Costa, Madeline Goh, B. Costa, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).