Carine M. Rebello

Orcid: 0000-0002-0796-8116

Affiliations:
  • NTNU Social Research, Trondheim, Norway


According to our database1, Carine M. Rebello authored at least 9 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
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., January, 2024

Harnessing graph neural networks to craft fragrances based on consumer feedback.
Comput. Chem. Eng., 2024

2023
Optimizing CO<sub>2</sub> Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making.
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.
CoRR, 2023

PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction.
CoRR, 2023

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
CoRR, 2023

2022
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem.
CoRR, 2022

A new Reinforcement Learning framework to discover natural flavor molecules.
CoRR, 2022

A Robust Learning Methodology for Uncertainty-aware Scientific Machine Learning models.
CoRR, 2022


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