Carine M. Rebello

According to our database, Carine M. Rebello authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.

Erbet Almeida Costa, Carine Menezes Rebello, Leizer Schnitman, José Miguel Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira

Eng. Appl. Artif. Intell., January, 2024

2023

Optimizing CO₂ Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making.

Carine Menezes Rebello, Idelfonso B. R. Nogueira

CoRR, 2023

Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry.

Carine Menezes Rebello, Johannes Jäschke, Idelfonso B. R. Nogueira

CoRR, 2023

PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction.

Vinícius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz, Ana Mafalda Almeida Peixoto Ribeiro, Nadia Shardt, Idelfonso B. R. Nogueira

CoRR, 2023

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.

Vinícius V. Santana, Erbet Almeida Costa, Carine M. Rebello, Ana M. Ribeiro, Chris Rackauckas, Idelfonso B. R. Nogueira

CoRR, 2023

2022

A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem.

Luana P. Queiroz, Carine M. Rebello, Erbet Almeida Costa, Vinícius V. Santana, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira

CoRR, 2022

A new Reinforcement Learning framework to discover natural flavor molecules.

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

CoRR, 2022