Fast Offshore Wells Model (FOWM): A practical dynamic model for multiphase oil production systems in deepwater and ultra-deepwater scenarios. - Fabio C. Diehl; Thiago K. Anzai; Cristina S. Almeida; Oscar F. Von Meien; Saul S. Neto; Vinicius R. Rosa; Mario C. M. M. Campos; Filipe Reolon; Giovani Gerevini; Cassiano Ranzan; Marcelo Farenzena; Jorge O. Trierweiler (Comput. Chem. Eng., 2017)

New methodology for parameter estimation of offshore slug models with Hopf bifurcation. - Ricardo F. Rodrigues; Jorge O. Trierweiler; Marcelo Farenzena (Comput. Chem. Eng., 2018)

Locating poor models in MPC applications. - Érica Rejane Pereira Claro; Denilson de Oliveira Francisco; Viviane Rodrigues Botelho; Marcelo Farenzena; Jorge Otávio Trierweiler (Comput. Chem. Eng., 2019)

Channel oriented approach for multivariable model updating using historical data. - Jorge Otávio Trierweiler; Denilson de Oliveira Francisco; Viviane Rodrigues Botelho; Marcelo Farenzena (Comput. Chem. Eng., 2020)

Robust extended Kalman filter estimation with moving window through a quadratic programming formulation. - Andressa Apio; Jorge O. Trierweiler; Marcelo Farenzena (Comput. Chem. Eng., 2021)

Industrial datasets and a tool for SISO control loops data visualization and analysis. - Jônathan W. V. Dambros; Jorge O. Trierweiler; Marcelo Farenzena (Comput. Chem. Eng., 2021)

Early detection of closed-loop slugging patterns in offshore oil wells with unsupervised learning approaches. - Alan De Maman; Fabio C. Diehl; Jorge O. Trierweiler; Marcelo Farenzena (Comput. Chem. Eng., 2024)

Exploring the Relationship between Learning of Machine Learning Concepts and Socioeconomic Status Background among Middle and High School Students: A Comparative Analysis. - Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Farenzena; Adriano Ferreti Borgatto; Jean C. R. Hauck (ACM Trans. Comput. Educ., 2024)