J. Peres

发表

Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures

M. von Stosch, R. Oliveria, J. Peres, 2012, Biotechnology progress.

A new hybrid modeling methodology based on delayed differential equations : Application to antibody expression by Pichia pastoris

S. Azevedo, M. Stosch, J. Peres, 2008 .

Statistical modelling of the amination reaction of cyclohexanol to produce cyclohexylamine over a commercial Ni-based catalyst

Joana Peres, Rui Churro, Fernando Mendes, 2021 .

Bioprocess hybrid parametric/nonparametric modelling based on the concept of mixture of experts

S. Feyo de Azevedo, Rui Oliveira, J. Peres, 2008 .

Hybrid Modelling of Fermentation Processes: A Study on the Use of Modular Neural Networks for Modelling Cells Reaction Kinetics

S. Feyo de Azevedo, Rui Oliveira, J. Peres, 2004 .

A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses

Sebastião Feyo de Azevedo, Moritz von Stosch, Rui Oliveira, 2011, Expert Syst. Appl..

Analyzing PEGylation through Molecular Dynamics Simulations

Tatiana F. Vieira, J. Peres, M. Coelho, 2018, ChemistrySelect.

A general hybrid semi-parametric process control framework

Sebastião Feyo de Azevedo, Moritz von Stosch, Rui Oliveira, 2012 .

Hybrid semi-parametric modeling in process systems engineering: Past, present and future

Sebastião Feyo de Azevedo, Moritz von Stosch, Rui Oliveira, 2014, Comput. Chem. Eng..

Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach

Sebastião Feyo de Azevedo, Moritz von Stosch, Rui Oliveira, 2010, BMC Systems Biology.

Hybrid modelling of a PHA production process using modular neural networks

Rui Oliveira, S. Feyo de Azevedo, Luísa S. Serafim, 2004 .

An efficient method for the numerical integration of measured variable dependent ordinary differential equations

Moritz von Stosch, C. Rodrigues de Azevedo, Joana Peres, 2015, Eng. Appl. Artif. Intell..