13 results on '"Rebello, Carine M."'
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2. Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
3. Generating Flavor Molecules Using Scientific Machine Learning
4. A Reinforcement Learning Framework to Discover Natural Flavor Molecules
5. Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee
6. A Transfer Learning approach to develop natural molecules with specific flavor requirements
7. A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization
8. Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process
9. A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping
10. Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning
11. From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization
12. Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry
13. 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
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