22 results on '"Nogueira, Idelfonso B. R."'
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2. Augmented Reality in Architectural Heritage Preservation: A Comprehensive Digitization Approach Validated in Salvador’s Pelourinho District – Brazil
3. Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
4. Generating Flavor Molecules Using Scientific Machine Learning
5. A Reinforcement Learning Framework to Discover Natural Flavor Molecules
6. A performance indicator for the screening of adsorbent/desorbent pairs for gas‐phase simulated moving bed applications
7. Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee
8. An Uncertainty Approach for Electric Submersible Pump Modeling Through Deep Neural Network
9. A Transfer Learning approach to develop natural molecules with specific flavor requirements
10. A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study
11. Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process
12. A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor
13. Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning
14. Enantiomers and Their Resolution
15. From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization
16. A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
17. Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry
18. 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
19. Global Approach for Simulated Moving Bed Model Identification: Design of Experiments, Uncertainty Evaluation, and Optimization Strategy Assessment
20. Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production ofn-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study
21. Big Data-Based Optimization of a Pressure Swing Adsorption Unit for Syngas Purification: On Mapping Uncertainties from a Metaheuristic Technique
22. Novel Switch Stabilizing Model Predictive Control Strategy Applied in the Control of a Simulated Moving Bed for the Separation of Bi-Naphthol Enantiomers
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