Erbet Almeida Costa
Om
Erbet Costa has embarked on his Ph.D. program under the guidance of Assoc. Prof. Idelfonso Nogueira. His research will focus on bridging the gap between traditional control theory and model predictive controllers using artificial intelligence techniques. Erbet aims to develop advanced AI-based control solutions that enhance control systems' robustness, stability, efficiency, and effectiveness.
Publikasjoner
2024
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Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
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
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Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
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
-
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
2023
-
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
-
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
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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
Tidsskriftspublikasjoner
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
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
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
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
-
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
-
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
-
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