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Rubens Maciel Filho
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2020 – today
- 2024
- [j14]Tiago D. Martins
, Sandra D. Martins, Silmara Montalvão, Mohamad Al Bannoud, Gabriel Y. Ottaiano, Letícia Q. Silva, Stephany C. Huber, Tassiana S. P. Diaz, Carolina Wroclawski, Cyrillo Cavalheiro Filho, Rubens Maciel Filho, Joyce Maria Annichino-Bizzacchi:
Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population. Neural Comput. Appl. 36(8): 4387-4399 (2024) - [j13]Tiago D. Martins
Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests. Neural Comput. Appl. 36(25): 15599-15616 (2024) - 2022
- [j12]Eduardo Almeida Benalcázar
Decarbonizing ethanol production via gas fermentation: Impact of the CO/H2/CO2 mix source on greenhouse gas emissions and production costs. Comput. Chem. Eng. 159: 107670 (2022) - 2020
- [j11]Tiago Dias Martins, Joyce Maria Annichino-Bizzacchi, Anna Virginia Calazans Romano, Rubens Maciel Filho:
Artificial neural networks for prediction of recurrent venous thromboembolism. Int. J. Medical Informatics 141: 104221 (2020) - [j10]Elmer Ccopa Rivera, Jonathan J. Swerdlow, Rodney L. Summerscales
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence. Sensors 20(3): 625 (2020)
2010 – 2019
- 2012
- [c2]Jules Thibault, Rubens Maciel Filho, Marina O. S. Dias, Tassia L. Junqueira, Otavio Cavalett, Charles D. F. Jesus, Carlos E. V. Rossell, Antonio Bonomi:
Simulation and Multi-Objective Optimization of Vaccuum Ethanol Fermentation. SIMULTECH 2012: 79-86 - 2011
- [j9]Adriano Pinto Mariano
Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor. Comput. Chem. Eng. 35(12): 2741-2749 (2011)
2000 – 2009
- 2009
- [j8]J. C. B. Gonzaga, Luiz Augusto da Cruz Meleiro
ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process. Comput. Chem. Eng. 33(1): 43-49 (2009) - [j7]Luiz Augusto da Cruz Meleiro
Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process. Eng. Appl. Artif. Intell. 22(2): 201-215 (2009) - 2007
- [j6]Caliane Bastos Borba Costa, Maria Regina Wolf Maciel, Rubens Maciel Filho:
Considerations on the crystallization modeling: Population balance solution. Comput. Chem. Eng. 31(3): 206-218 (2007) - 2006
- [j5]Luiz Augusto da Cruz Meleiro
Application of Hierarchical Neural Fuzzy Models to Modeling and Control of a Bioprocess. Appl. Artif. Intell. 20(9): 797-816 (2006) - 2005
- [j4]Adriano Pinto Mariano
Development of a software for simulation analysis of the phenomenon of phase change of three-phase catalytic slurry reactor. Comput. Chem. Eng. 29(6): 1369-1378 (2005) - [j3]Eduardo Coselli Vasco de Toledo, Rogerio Favinha Martini, Maria Regina Wolf Maciel, Rubens Maciel Filho:
Process intensification for high operational performance target: Autorefrigerated CSTR polymerization reactor. Comput. Chem. Eng. 29(6): 1447-1455 (2005) - [j2]Caliane Bastos Borba Costa, Maria Regina Wolf Maciel, Rubens Maciel Filho:
Factorial design technique applied to genetic algorithm parameters in a batch cooling crystallization optimisation. Comput. Chem. Eng. 29(10): 2229-2241 (2005) - [j1]Delba Nisi Cosme Melo, Eduardo Coselli Vasco de Toledo, Marcela M. Santos, Salah D. M. Hasan, Maria Regina Wolf Maciel, Rubens Maciel Filho:
Off-line optimization and control for real time integration of a three-phase hydrogenation catalytic reactor. Comput. Chem. Eng. 29(11-12): 2485-2493 (2005) - 2002
- [c1]Luiz Augusto da Cruz Meleiro
Identification of a Multivariate Fermentation Process using Constructive Learning. SBRN 2002: 19-24
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last updated on 2024-10-07 21:21 CEST by the dblp team
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