A Reinforcement Learning Framework to Discover Natural Flavor Molecules.
- Published in:
- Foods, 2023, v. 12, n. 6, p. 1147, doi. 10.3390/foods12061147
- By:
- Publication type:
- Article
Works by Rebello, Carine M.
Results: 9
1
2
Improved modeling of crystallization processes by Universal Differential Equations.
- Published in:
- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 200, p. 538, doi. 10.1016/j.cherd.2023.11.032
- By:
- Publication type:
- Article
3
A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization.
- Published in:
- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 180, p. 243, doi. 10.1016/j.cherd.2022.02.013
- By:
- Publication type:
- Article
4
A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping.
- Published in:
- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 178, p. 590, doi. 10.1016/j.cherd.2021.12.047
- By:
- Publication type:
- Article
5
Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry.
- Published in:
- AI, 2021, v. 2, n. 3, p. 429, doi. 10.3390/ai2030027
- By:
- Publication type:
- Article
6
Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process.
- Published in:
- Processes, 2022, v. 10, n. 2, p. 409, doi. 10.3390/pr10020409
- By:
- Publication type:
- Article
7
Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning.
- Published in:
- Processes, 2022, v. 10, n. 2, p. 250, doi. 10.3390/pr10020250
- By:
- Publication type:
- Article
8
From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization.
- Published in:
- Mathematics (2227-7390), 2021, v. 9, n. 24, p. 3152, doi. 10.3390/math9243152
- By:
- Publication type:
- Article
9
From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy.
- Published in:
- Mathematics (2227-7390), 2021, v. 9, n. 15, p. 1808, doi. 10.3390/math9151808
- By:
- Publication type:
- Article