174 results on '"Ribeiro, Ana M."'
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2. Bovine serum albumin and myoglobin separation on HAp
3. Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis
4. A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning
5. Perspectives of Scaling Up the Use of Zeolites for Selective Separations from Lab to Industry
6. Bovine Serum Albumin and Myoglobin Separation by Ion-Exchange SMB
7. Transient Coatings from Nanoparticles Achieving Broad-Spectrum and High Antimicrobial Performance
8. Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
9. Generating Flavor Molecules Using Scientific Machine Learning
10. A Reinforcement Learning Framework to Discover Natural Flavor Molecules
11. Adsorptive processes for the recovery of VCM emissions using an environmentally friendly MIL-100(Fe) MOF
12. A performance indicator for the screening of adsorbent/desorbent pairs for gas‐phase simulated moving bed applications
13. Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee
14. Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy
15. A Transfer Learning approach to develop natural molecules with specific flavor requirements
16. Bulk recovery and purification of vinyl chloride/nitrogen mixtures by MT-TPVSA using activated carbon carbotech DGK
17. Improving the Performance of a Simulated Moving Bed Reactor for the Synthesis of Solketal by Implementing Multifeed Strategy
18. Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems
19. Vinyl Chloride Recovery in a Multitubular Adsorber on Maxsorb Carbon
20. Hollow carbon spheres for diclofenac and venlafaxine adsorption
21. Atmospheric water harvesting on MIL-100(Fe) upon a cyclic adsorption process
22. A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization
23. A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study
24. Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process
25. A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor
26. A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping
27. A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit
28. Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning
29. Atmospheric Water Harvesting on MIL-100(Fe) Upon a Cyclic Adsorption Process
30. Evaluation of the Potential of a 3d-Printed Hybrid Zeolite 13x/Activated Carbon Material for Co2/N2 Separation Using Electric Swing Adsorption
31. A novel optimization approach for material screening in the adsorption process separation context based on rigorous models: Separation of a mixture of N2 and CO2 in a Pressure Swing Adsorption Unit as a case study
32. From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization
33. Artificial Intelligence-oriented economic non-linear model predictive control applied to a pressure swing adsorption unit: Syngas purification as a case study
34. A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
35. Artificial Intelligence and Cyber-Physical Systems: A Review and Perspectives for the Future in the Chemical Industry
36. A new Toxodontidae (Mammalia, Notoungulata) from the upper Pliocene–lower Pleistocene of Uruguay
37. Modeling and optimization of a continuous electrocoagulation process using an artificial intelligence approach
38. 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
39. Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach
40. Global Approach for Simulated Moving Bed Model Identification: Design of Experiments, Uncertainty Evaluation, and Optimization Strategy Assessment
41. Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production ofn-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study
42. The first braincase of the basal aetosaur Aetosauroides scagliai (Archosauria: Pseudosuchia) from the Upper Triassic of Brazil
43. Adsorption material composition and process optimization, a systematical approach based on Deep Learning
44. A Robust Model Predictive Controller applied to a Pressure Swing Adsorption Process: An Analysis Based on a Linear Model Mismatch
45. Design and Optimization for Simulated Moving Bed: Varicol Approach
46. Ethylene/ethane separation by gas-phase SMB in binderfree zeolite 13X monoliths
47. Optimal Design of SMB Units: A Novel Strategy Based on Particles Swarm Optimization
48. Modelling of a pressure swing adsorption unit by deep learning and artificial Intelligence tools
49. Bovine serum albumin and myoglobin separation by size exclusion SMB
50. A new fossil cricetid (Rodentia, Sigmodontinae) from northeastern Brazil with remarks on small mammal extinctions in the tropical Quaternary
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