José M. Loureiro

According to our database, José M. Loureiro authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.

Erbet Almeida Costa, Carine Menezes Rebello, Leizer Schnitman, José Miguel Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira

Eng. Appl. Artif. Intell., January, 2024

2022

A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC.

Teófilo P. G. Mendes, Leizer Schnitman, Idelfonso Bessa dos Reis Nogueira, Ana Mafalda Almeida Peixoto Ribeiro, Alírio Egídio Rodrigues, José Miguel Loureiro, Márcio A. F. Martins

Expert Syst. Appl., 2022

A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit.

Paulo H. Marrocos, Igor G. I. Iwakiri, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira

Appl. Soft Comput., 2022

2021

Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach.

Vinícius V. Santana, Márcio A. F. Martins, José M. Loureiro, Ana M. Ribeiro, Alírio E. Rodrigues, Idelfonso B. R. Nogueira

Comput. Chem. Eng., 2021

2020

Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate.

Vinícius Viena, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira

Comput. Chem. Eng., 2020

2019

Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination.

Idelfonso B. R. Nogueira, Rui P. V. Faria, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro

Comput. Chem. Eng., 2019

Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant.

Joana Matos, Rui P. V. Faria, Idelfonso B. R. Nogueira, José M. Loureiro, Ana M. Ribeiro

Comput. Chem. Eng., 2019

Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization.

Idelfonso B. R. Nogueira, Márcio A. F. Martins, Reiner Requião, Amanda R. Oliveira, Vinícius Viena, Hannu Koivisto, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro

Comput. Ind. Eng., 2019

2018

Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination.

Idelfonso B. R. Nogueira, Rui P. V. Faria, Reiner Requião, Hannu Koivisto, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro

Comput. Chem. Eng., 2018

A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes.

Idelfonso B. R. Nogueira, Ana M. Ribeiro, Reiner Requião, Karen V. Pontes, Hannu Koivisto, Alírio E. Rodrigues, José M. Loureiro

Appl. Soft Comput., 2018

2017

Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime.

Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro

Comput. Chem. Eng., 2017

2016

Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method.

Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro

Comput. Chem. Eng., 2016