2025

• Costa, Erbet Almeida; Abreu, Odilon Santana Luiz de; Reges, Galdir; Rebello, Carine de Menezes; Fontana, Marcio; Ribeiro, Marcos Pellegrini. (2025) Standard MPC and Inputs-Target MPC implementation comparison in ESP systems. IFAC-PapersOnLine
  Vitenskapelig artikkel
• Rebello, Carine de Menezes; Costa, Erbet Almeida; Abreu, Odilon Santana Luiz De; Reges, Galdir; Santana, Vinicius Viena; Mendes, Tefilo Paiva Guimares. (2025) Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction. IFAC-PapersOnLine
  Vitenskapelig artikkel
• Rebello, Carine de Menezes; Jäschke, Johannes Ernst Peter; Nogueira, Idelfonso B. R.. (2025) Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability. IFAC-PapersOnLine
  Vitenskapelig artikkel
• Lima, Fernando Arrais Romero Dias; Moraes, Marcellus G.F. de; Rebello, Carine de Menezes; Barreto, Amaro G.; Secchi, Argimiro R.; Souza, Maurício B. de. (2025) Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization. Chemical Engineering and Processing
  Vitenskapelig artikkel
• Voltolini, Leonardo; Lima, Fernando Arrais Romero Dias; Rebello, Carine de Menezes; Itabaiana, Ivaldo; Nogueira, Idelfonso B. R.; Secchi, Argimiro Resende. (2025) Machine learning framework to predict product distribution of lignocellulosic biomass pyrolysis. Bioresource Technology
  Vitenskapelig artikkel
• Rebello, Carine de Menezes; Nogueira, Idelfonso B. R.. (2025) Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment. Computers and Chemical Engineering
  Vitenskapelig artikkel

2024

• Santana, Vinicius; Rebello, Carine Menezes; Queiroz, Luana P.; Ribeiro, Ana Mafalda; Shardt, Nadia; Nogueira, Idelfonso B. R.. (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; Nogueira, Idelfonso B. R.. (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
• Rebello, Carine de Menezes; Deiró, Gabriela Fontes; Knuutila, Hanna Katariina; Moreira, Lorena Claudia de Souza; Nogueira, Idelfonso B. R.. (2024) Augmented reality for chemical engineering education. Education for Chemical Engineers
  Vitenskapelig artikkel
• Moreira, Lorena Claudia de Souza; Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Ribeiro, Lucília S.; Nogueira, Idelfonso B. R.. (2024) Digital Transformation in the Chemical Industry: The Potential of Augmented Reality and Digital Twin. Applied Sciences
  Vitenskapelig oversiktsartikkel/review
• Rebello, Carine de Menezes; Costa, Erbet Almeida; Sánchez, Antonio Santos; Vides, Fredy; Nogueira, Idelfonso B. R.. (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
• Rebello, Carine de Menezes; Nogueira, Idelfonso B. R.. (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
• Rebello, Carine de Menezes; Costa, Erbet Almeida; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.. (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 de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2024) Machine learning multi-step-ahead modelling with uncertainty assessment. IFAC-PapersOnLine
  Vitenskapelig artikkel
• Costa, Erbet Almeida; Rebello, Carine Menezes; Santana, Vinicius Viena; Reges, Galdir; Silva, Tiago de Oliveira; Abreu, Odilon Santana Luiz de. (2024) An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon
  Vitenskapelig artikkel
• Rodrigues, Bruno; Santana, Vinicius Viena; Queiroz, Luana P.; Rebello, Carine de Menezes; Nogueira, Idelfonso B. R.. (2024) Harnessing graph neural networks to craft fragrances based on consumer feedback. Computers and 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
• Costa, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Nogueira, Idelfonso B. R.. (2023) Physics-informed neural network uncertainty assessment through Bayesian inference. IFAC-PapersOnLine
  Vitenskapelig artikkel
• Santana, Vinicius V.; Costa, Erbet Almeida; Rebello, Carine Menezes; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.. (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