5 citations · 7 across the 5 of their papers we have counts for
5 papers
ExPUFFIN: Thermodynamic Consistent Viscosity Prediction in an Extended Path-Unifying Feed-Forward Interfaced Network
Carine Menezes Rebello, Ulderico Di Caprio, Jenny Steen-Hansen +6
Accurate prediction of liquid viscosity is essential for process design and simulation, yet remains challenging for novel molecules. Conventional group-contribution models struggle…
Offset-Free Robust Nonlinear Control Using Data-Driven Model: A Nonlinear Multi-Model Computationally Efficient Approach
Carine Menezes Rebello, Erbet Almeida Costa, Idelfonso B. R. Nogueira
Robust model predictive control (MPC) aims to preserve performance under model-plant mismatch, yet robust formulations for nonlinear MPC (NMPC) with data-driven surrogates remain l…
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
Vinicius V. Santana, Erbet Costa, Carine M. Rebello +3
This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear advection-diffusion-sorption sy…
Bio-inspired Algorithms in the Optimisation of Wireless Sensor Networks
Joana Matos, Carine M. Rebello, Erbet A. Costa +3
WSN are a growing technology in industrial and personal use fields. The Quality of Service (QoS) of WSN is associated to the architecture of WSN nodes and network design. In this w…
A new Reinforcement Learning framework to discover natural flavor molecules
Luana P. Queiroz, Carine M. Rebello, Erbet A. Costa +5
The flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essentia…