Sebastião Feyo de Azevedo

18 papers B 4Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2016 J jnl
A principal components method constrained by elementary flux modes: analysis of flux data sets.
BMC Bioinform.
Moritz von Stosch, Cristiana Rodrigues de Azevedo, Mauro Luis, Sebastião Feyo de Azevedo, Rui Oliveira
2014 — ch.
Error Tolerant Predictive Control Based on Recurrent Neural Models.
Innovations in Intelligent Machines (5)
Petia Georgieva, Sebastião Feyo de Azevedo
2014 J jnl
Hybrid semi-parametric modeling in process systems engineering: Past, present and future.
Comput. Chem. Eng.
Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo
2011 J jnl
A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses.
Expert Syst. Appl.
Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo
2011 B conf
Neural networks for model predictive control.
IJCNN
Petia Georgieva, Sebastião Feyo de Azevedo
2011 J jnl
Qualification Frameworks and Field-specific Approaches to Quality Assurance: Initiatives in Engineering and Technical Education.
Int. J. Qual. Assur. Eng. Technol. Educ.
Giuliano Augusti, Sebastião Feyo de Azevedo
2010 J jnl
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach.
BMC Syst. Biol.
Moritz von Stosch, Joana Peres, Sebastião Feyo de Azevedo, Rui Oliveira
2009 J jnl
Artificial neural networks for modeling in reaction process systems.
Neural Comput. Appl.
Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo
2009 B conf
Computationally efficient process control with neural networkbased predictive models.
IJCNN
Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo
2009 — conf
Error tolerant MPC versus PI control - a crystallization case study.
ECC
Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo
2007 B conf
Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients.
IJCNN
Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo
2006 B conf
Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model.
IJCNN
Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo
2005 J jnl
Adaptive recurrent neural network control of biological wastewater treatment.
Int. J. Intell. Syst.
Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo
2005 J jnl
On-line monitoring of a sugar crystallization process.
Comput. Chem. Eng.
Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo
2004 J jnl
An adaptive fuzzy hybrid state observer for bioprocesses.
IEEE Trans. Fuzzy Syst.
Pedro Ascencio, Daniel Sbarbaro, Sebastião Feyo de Azevedo
2004 J jnl
On-line tuning of a neural PID controller based on plant hybrid modeling.
Comput. Chem. Eng.
A. Andrásik, Alojz Mészáros, Sebastião Feyo de Azevedo
2002 J jnl
A Neural Network Based Approach for Measurement Dynamics Compensation.
Appl. Artif. Intell.
Petia Georgieva, Sebastião Feyo de Azevedo
2001 — conf
Optimal monitoring and risk limits for a wastewater biological treatment serial plant.
ECC
Gheorghe Maria, Cristina Maria, Romualdo Salcedo, Sebastião Feyo de Azevedo