Murilo C. O. Camargos Filho

According to our database, Murilo C. O. Camargos Filho authored at least 8 papers between 2016 and 2024.

Collaborative distances:

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

2024

A fuzzy transformation approach to enhance active learning for heart disease prediction.

Heveraldo Rodrigues de Oliveira, Antônio Wilson Vieira, Laércio Ives Santos, Murilo C. O. Camargos Filho, Petr Ekel, Marcos Flávio Silveira Vasconcelos D'Angelo

J. Intell. Fuzzy Syst., 2024

Analyzing Morinda citrifolia's Potential for Haemonchus contortus Control in Lambs Using an Artificial Immune/Neural Approach.

Gabriele L. S. Silva, Laura L. S. Oliveira, Fredson V. Silva, Murilo C. O. Camargos Filho, Matheus Pereira Libório, Marcos F. S. V. D'Angelo, Alisson S. P. Caldeira, Luis Miralles-Pechuán, Hamidreza Rabiei-Dastjerdi

IEEE Access, 2024

2022

Decision tree and artificial immune systems for stroke prediction in imbalanced data.

Laércio Ives Santos, Murilo C. O. Camargos, Marcos Flávio Silveira Vasconcelos D'Angelo, João Batista Mendes, Egydio Emiliano Camargos de Medeiros, André Luiz Sena Guimarães, Reinaldo Martinez Palhares

Expert Syst. Appl., 2022

2021

An adaptive approach for estimation of transition probability matrix in the interacting multiple model filter.

Luciana Balieiro Cosme, Marcos Flávio Silveira Vasconcelos D'Angelo, Walmir Matos Caminhas, Murilo C. O. Camargos, Reinaldo Martinez Palhares

J. Intell. Fuzzy Syst., 2021

Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics.

Murilo C. O. Camargos, Iury Bessa, Luiz A. Q. Cordovil Junior, Pedro Henrique Silva Coutinho, Daniel Furtado Leite, Reinaldo Martinez Palhares

CoRR, 2021

Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model.

Daniel F. Leite, Pedro Henrique Silva Coutinho, Iury Bessa, Murilo C. O. Camargos Filho, Luiz Cordovil Junior, Reinaldo M. Palhares

CoRR, 2021

2020

Data-driven prognostics of rolling element bearings using a novel Error Based Evolving Takagi-Sugeno Fuzzy Model.

Murilo C. O. Camargos Filho, Iury Bessa, Marcos Flávio Silveira Vasconcelos D'Angelo, Luciana Balieiro Cosme, Reinaldo Martinez Palhares

Appl. Soft Comput., 2020

2016

A new fault classification approach applied to Tennessee Eastman benchmark process.

Marcos F. S. V. D'Angelo, Reinaldo M. Palhares, Murilo C. O. Camargos Filho, Renato Dourado Maia, João Batista Mendes, Petr Yakovlevitch Ekel

Appl. Soft Comput., 2016