Carine de Menezes Rebello
Publikasjoner
2025
-
Arrais Romero Dias Lima, Fernando;
de Moraes, Marcellus G.F.;
de Menezes Rebello, Carine;
Barreto, Amaro G.;
Secchi, Argimiro R.;
de Souza, Maurício B..
(2025)
Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization.
Chemical Engineering and Processing
Vitenskapelig artikkel
2024
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Santana, Vinicius Viena;
B. R. Nogueira, Idelfonso.
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Vitenskapelig artikkel
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Vitenskapelig artikkel
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José Miguel;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Fontana, Marcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius Viena;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Ribeiro, Lucília S.;
B. R. Nogueira, Idelfonso.
(2024)
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin.
Applied Sciences
Vitenskapelig oversiktsartikkel/review
2023
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Vitenskapelig artikkel
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Santana, Vinicius Viena;
B. R. Nogueira, Idelfonso.
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Arrais Romero Dias Lima, Fernando;
de Moraes, Marcellus G.F.;
de Menezes Rebello, Carine;
Barreto, Amaro G.;
Secchi, Argimiro R.;
de Souza, Maurício B..
(2025)
Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization.
Chemical Engineering and Processing
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Santana, Vinicius Viena;
B. R. Nogueira, Idelfonso.
(2024)
Machine learning multi-step-ahead modelling with uncertainty assessment.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Vitenskapelig artikkel
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Vitenskapelig artikkel
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José Miguel;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Vitenskapelig artikkel
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Fontana, Marcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius Viena;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Vitenskapelig artikkel
-
Moreira, Lorena Claudia de Souza;
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Ribeiro, Lucília S.;
B. R. Nogueira, Idelfonso.
(2024)
Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin.
Applied Sciences
Vitenskapelig oversiktsartikkel/review
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Vitenskapelig artikkel
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Vitenskapelig artikkel
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
-
Almeida Costa, Erbet;
de Menezes Rebello, Carine;
Santana, Vinicius Viena;
B. R. Nogueira, Idelfonso.
(2023)
Physics-informed neural network uncertainty assessment through Bayesian inference.
IFAC-PapersOnLine
Vitenskapelig artikkel
Formidling
2025
-
Vitenskapelig foredragMoreira, Lorena Claudia de Souza; de Menezes Rebello, Carine; Knuutila, Hanna Katariina; Bessa Dos Reis Nogueira, Idelfonso. (2025) Enhancing Chemical Engineering Education through Augmented Reality Applications. NTNU Læringsfestivalen , Trondheim 2025-05-19 - 2025-05-20