José Francisco S. Filho

According to our database, José Francisco S. Filho authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

A Data-driven approach with reanalysis and geospatial data for chloride deposition prediction.

Thiago Brandenburg, Gustavo A. Fischer, Fabiano J. F. Miranda, José Francisco Silva Filho, Rafael Stubs Parpinelli

Earth Sci. Informatics, January, 2025

2022

Automotive Stamping Process Optimization Using Machine Learning and Multi-objective Evolutionary Algorithm.

Bernard da Silva, Ana Paula Athayde Carneiro, José Osvaldo Amaral Tepedino, José Francisco Silva Filho, Fabiano J. F. Miranda, Rafael Stubs Parpinelli

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Cold Rolling Mill Energy Consumption Prediction Using Machine Learning.

Danilo G. de Oliveira, José Francisco S. Filho, Fabiano J. F. Miranda, Pedro H. Serpa, Rafael Stubs Parpinelli

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

2020

Artificial Neural Network Model for Steel Strip Tandem Cold Mill Power Prediction.

Danilo G. de Oliveira, Eliton M. da Silva, Fabiano J. F. Miranda, José Francisco S. Filho, Rafael S. Parpinelli

Proceedings of the Applied Informatics - Third International Conference, 2020

Modelling IF Steels Using Artificial Neural Networks and Automated Machine Learning.

Douglas Macedo Sgrott, Fabricio Moreira Cerqueira, Fabiano J. F. Miranda, José Francisco S. Filho, Rafael S. Parpinelli

Proceedings of the Hybrid Intelligent Systems, 2020