Idelfonso B. R. Nogueira

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Dynamic Response

Swarm Optimization

Top Venues

Comput. Chem. Eng.

Comput. Ind. Eng.

Appl. Soft Comput.

Publications

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 (2024)
Bruno C. L. Rodrigues, Vinícius V. Santana, Sandris Murins, Idelfonso B. R. Nogueira
Molecule Generation and Optimization for Efficient Fragrance Creation. CoRR (2024)
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) (2024)
Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores
Dynamic financial processes identification using sparse regressive reservoir computers. CoRR (2023)
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 (2023)
Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers. CoRR (2023)
Carine Menezes Rebello, Idelfonso B. R. Nogueira
Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making. CoRR (2023)
Carine Menezes Rebello, Johannes Jäschkea, 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 (2023)
Vinícius V. Santana, Erbet A. 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 (2023)
Luana P. Queiroz, Carine M. Rebello, Erbet A. 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 (2022)
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 (2022)
Joana Matos, Carine M. Rebello, Erbet A. Costa, Luana P. Queiroz, Maria Joao B. Regufe, Idelfonso B. R. Nogueira
Bio-inspired Algorithms in the Optimisation of Wireless Sensor Networks. CoRR (2022)
Luana P. Queiroz, Carine M. Rebello, Erbet A. 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 (2022)
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 (2021)
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 (2020)
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)
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 (2019)
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 (2019)
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 (2019)
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 (2018)
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 (2018)
Idelfonso B. R. Nogueira, Karen V. Pontes
Parameter estimation with estimability analysis applied to an industrial scale polymerization process. Comput. Chem. Eng. 96 (2017)
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 (2017)
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 (2017)
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 (2016)