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ORCIDIdelfonso B. R. Nogueira
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2020 – today
- 2024
[j16]Bruno C. L. Rodrigues
, Vinícius V. Santana, Luana P. Queiroz, Carine M. Rebello, Idelfonso B. R. Nogueira:
Harnessing graph neural networks to craft fragrances based on consumer feedback. Comput. Chem. Eng. 185: 108674 (2024)- [j15]Erbet Almeida Costa, Carine Menezes Rebello, Leizer Schnitman, José Miguel Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira:
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Eng. Appl. Artif. Intell. 127(Part B): 107364 (2024) - [i10]Bruno C. L. Rodrigues, Vinícius V. Santana, Sandris Murins, Idelfonso B. R. Nogueira:
Molecule Generation and Optimization for Efficient Fragrance Creation. CoRR abs/2402.12134 (2024) - 2023
- [i9]Vinícius V. Santana, Erbet Almeida Costa, Carine M. Rebello, Ana M. Ribeiro, Chris Rackauckas, Idelfonso B. R. Nogueira:
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. CoRR abs/2303.13555 (2023) - [i8]Vinícius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz, Ana Mafalda Almeida Peixoto Ribeiro, Nadia Shardt, Idelfonso B. R. Nogueira:
PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction. CoRR abs/2307.02903 (2023) - [i7]Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores:
Dynamic financial processes identification using sparse regressive reservoir computers. CoRR abs/2310.12144 (2023) - [i6]Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores:
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers. CoRR abs/2311.09511 (2023) - [i5]Carine Menezes Rebello, Johannes Jäschke, Idelfonso B. R. Nogueira:
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry. CoRR abs/2311.12755 (2023) - [i4]Carine Menezes Rebello, Idelfonso B. R. Nogueira:
Optimizing CO2 Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making. CoRR abs/2312.03873 (2023) - 2022
- [j14]Paulo H. Marrocos, Igor G. I. Iwakiri, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira:
A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit. Appl. Soft Comput. 116: 108318 (2022) - [j13]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:
A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC. Expert Syst. Appl. 210: 118369 (2022) - [i3]Erbet Costa Almeida, Carine de Menezes Rebello, Marcio Fontana, Leizer Schnitman, Idelfonso Bessa dos Reis Nogueira:
A Robust Learning Methodology for Uncertainty-aware Scientific Machine Learning models. CoRR abs/2209.01900 (2022) - [i2]Luana P. Queiroz, Carine M. Rebello, Erbet Almeida Costa, Vinícius V. Santana, Bruno C. L. Rodrigues, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira:
A new Reinforcement Learning framework to discover natural flavor molecules. CoRR abs/2209.05859 (2022) - [i1]Luana P. Queiroz, Carine M. Rebello, Erbet Almeida Costa, Vinícius V. Santana, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira:
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem. CoRR abs/2209.06642 (2022) - 2021
- [j12]Vinícius V. Santana, Márcio A. F. Martins, José M. Loureiro, Ana M. Ribeiro, Alírio E. Rodrigues, Idelfonso B. R. Nogueira:
Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach. Comput. Chem. Eng. 150: 107344 (2021) - 2020
- [j11]Idelfonso B. R. Nogueira, Raony M. Fontes, Ana M. Ribeiro, Karen V. Pontes, Marcelo Embiruçu, Márcio A. F. Martins:
A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process. Comput. Chem. Eng. 133 (2020) - [j10]Vinícius Viena, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira:
Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate. Comput. Chem. Eng. 137: 106820 (2020)
2010 – 2019
- 2019
- [j9]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:
Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization. Comput. Ind. Eng. 135: 368-381 (2019) - [j8]Joana Matos, Rui P. V. Faria, Idelfonso B. R. Nogueira, José M. Loureiro, Ana M. Ribeiro:
Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant. Comput. Chem. Eng. 123: 344-356 (2019) - [j7]Idelfonso B. R. Nogueira, Rui P. V. Faria, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro:
Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination. Comput. Chem. Eng. 128: 164-173 (2019) - 2018
- [j6]Idelfonso B. R. Nogueira, Ana M. Ribeiro, Reiner Requião, Karen V. Pontes, Hannu Koivisto, Alírio E. Rodrigues, José M. Loureiro:
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. Appl. Soft Comput. 67: 29-47 (2018) - [j5]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:
Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination. Comput. Chem. Eng. 119: 371-382 (2018) - 2017
- [j4]Idelfonso B. R. Nogueira, Cristiano Hora Fontes, Isabel Sartori, Karen V. Pontes, Marcelo Embiruçu:
A model-based approach to quality monitoring of a polymerization process without online measurement of product specifications. Comput. Ind. Eng. 106: 123-136 (2017) - [j3]Idelfonso B. R. Nogueira, Karen V. Pontes:
Parameter estimation with estimability analysis applied to an industrial scale polymerization process. Comput. Chem. Eng. 96: 75-86 (2017) - [j2]Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro:
Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime. Comput. Chem. Eng. 99: 230-244 (2017) - 2016
- [j1]Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro:
Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method. Comput. Chem. Eng. 86: 5-17 (2016)
Coauthor Index
aka: José Miguel Loureiro
aka: Ana Mafalda Almeida Peixoto Ribeiro
aka: Alírio Egídio Rodrigues
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