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ORCIDSebastião Feyo de Azevedo
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2010 – 2019
- 2016
[j11]Moritz von Stosch, Cristiana Rodrigues de Azevedo, Mauro Luis, Sebastião Feyo de Azevedo
, Rui Oliveira:
A principal components method constrained by elementary flux modes: analysis of flux data sets. BMC Bioinform. 17: 200 (2016)- 2014
- [j10]Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo:
Hybrid semi-parametric modeling in process systems engineering: Past, present and future. Comput. Chem. Eng. 60: 86-101 (2014) - [p1]Petia Georgieva, Sebastião Feyo de Azevedo:
Error Tolerant Predictive Control Based on Recurrent Neural Models. Innovations in Intelligent Machines (5) 2014: 45-72 - 2011
- [j9]Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo:
A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses. Expert Syst. Appl. 38(9): 10862-10874 (2011) - [j8]Giuliano Augusti, Sebastião Feyo de Azevedo:
Qualification Frameworks and Field-specific Approaches to Quality Assurance: Initiatives in Engineering and Technical Education. Int. J. Qual. Assur. Eng. Technol. Educ. 1(1): 44-57 (2011) - [c6]Petia Georgieva, Sebastião Feyo de Azevedo:
Neural networks for model predictive control. IJCNN 2011: 111-118 - 2010
- [j7]Moritz von Stosch, Joana Peres, Sebastião Feyo de Azevedo, Rui Oliveira:
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach. BMC Syst. Biol. 4: 131 (2010)
2000 – 2009
- 2009
- [j6]Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo:
Artificial neural networks for modeling in reaction process systems. Neural Comput. Appl. 18(1): 15-24 (2009) - [c5]Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo:
Error tolerant MPC versus PI control - a crystallization case study. ECC 2009: 2899-2904 - [c4]Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo:
Computationally efficient process control with neural networkbased predictive models. IJCNN 2009: 2990-2997 - 2007
- [c3]Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo:
Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients. IJCNN 2007: 1530-1535 - 2006
- [c2]Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo:
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. IJCNN 2006: 2728-2735 - 2005
- [j5]Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo:
On-line monitoring of a sugar crystallization process. Comput. Chem. Eng. 29(6): 1411-1422 (2005) - [j4]Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo:
Adaptive recurrent neural network control of biological wastewater treatment. Int. J. Intell. Syst. 20(2): 173-193 (2005) - 2004
- [j3]A. Andrásik, Alojz Mészáros, Sebastião Feyo de Azevedo:
On-line tuning of a neural PID controller based on plant hybrid modeling. Comput. Chem. Eng. 28(8): 1499-1509 (2004) - [j2]Pedro Ascencio, Daniel Sbarbaro, Sebastião Feyo de Azevedo:
An adaptive fuzzy hybrid state observer for bioprocesses. IEEE Trans. Fuzzy Syst. 12(5): 641-651 (2004) - 2002
- [j1]Petia Georgieva, Sebastião Feyo de Azevedo:
A Neural Network Based Approach for Measurement Dynamics Compensation. Appl. Artif. Intell. 16(6): 423-442 (2002) - 2001
- [c1]Gheorghe Maria, Cristina Maria, Romualdo Salcedo, Sebastião Feyo de Azevedo:
Optimal monitoring and risk limits for a wastewater biological treatment serial plant. ECC 2001: 3845-3851
Coauthor Index
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