| Artificial intelligence and cyber-physical systems: A review and perspectives for the future in the chemical industry LMC Oliveira, R Dias, CM Rebello, MAF Martins, AE Rodrigues, ... AI 2 (3), 27, 2021 | 21 | 2021 |
| A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping CM Rebello, MAF Martins, AE Rodrigues, JM Loureiro, AM Ribeiro, ... Chemical Engineering Research and Design 178, 590-601, 2022 | 13 | 2022 |
| 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 … CM Rebello, MAF Martins, JM Loureiro, AE Rodrigues, AM Ribeiro, ... Mathematics 9 (15), 1808, 2021 | 13 | 2021 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: a systematic scientific machine learning approach VV Santana, E Costa, CM Rebello, AM Ribeiro, C Rackauckas, ... Chemical Engineering Science 282, 119223, 2023 | 8 | 2023 |
| A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization IBR Nogueira, ROM Dias, CM Rebello, EA Costa, VV Santana, ... Chemical Engineering Research and Design 180, 243-253, 2022 | 8 | 2022 |
| Machine learning-based dynamic modeling for process engineering applications: a guideline for simulation and prediction from perceptron to deep learning CM Rebello, PH Marrocos, EA Costa, VV Santana, AE Rodrigues, ... Processes 10 (2), 250, 2022 | 8 | 2022 |
| From a Pareto front to Pareto regions: A novel standpoint for multiobjective optimization CM Rebello, MAF Martins, DD Santana, AE Rodrigues, JM Loureiro, ... Mathematics 9 (24), 3152, 2021 | 8 | 2021 |
| A Reinforcement Learning Framework to Discover Natural Flavor Molecules LP Queiroz, CM Rebello, EA Costa, VV Santana, BCL Rodrigues, ... Foods 12 (6), 1147, 2023 | 7 | 2023 |
| Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements LP Queiroz, CM Rebello, EA Costa, VV Santana, BCL Rodrigues, ... Industrial & Engineering Chemistry Research 62 (23), 9062-9076, 2023 | 5 | 2023 |
| Generating flavor molecules using scientific machine learning LP Queiroz, CM Rebello, EA Costa, VV Santana, BCL Rodrigues, ... ACS omega 8 (12), 10875-10887, 2023 | 5 | 2023 |
| A complete heterogeneous model for the production of n-propyl propionate using a simulated moving bed reactor R Santos, C Rebello, A Prudente, AM Ribeiro, AE Rodrigues, JM Loureiro, ... Separations 9 (2), 43, 2022 | 4 | 2022 |
| Bio-inspired algorithms in the optimisation of wireless sensor networks J Matos, CM Rebello, EA Costa, LP Queiroz, MJB Regufe, IBR Nogueira arXiv preprint arXiv:2210.04700, 2022 | 3 | 2022 |
| Generating flavors using scientific machine learning LP Queiroz, CM Rebello, EA Costa, VV Santana, BCL Rodrigues, ... | 3 | 2022 |
| Mapping uncertainties of soft-sensors based on deep feedforward neural networks through a novel monte carlo uncertainties training process EA Costa, CM Rebello, VV Santana, AE Rodrigues, AM Ribeiro, ... Processes 10 (2), 409, 2022 | 3 | 2022 |
| Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance EA Costa, CM Rebello, L Schnitman, JM Loureiro, AM Ribeiro, ... Engineering Applications of Artificial Intelligence 127, 107364, 2024 | 2 | 2024 |
| A robust learning methodology for uncertainty-aware scientific machine learning models EA Costa, CM Rebello, M Fontana, L Schnitman, IBR Nogueira Mathematics 11 (1), 74, 2022 | 2 | 2022 |
| PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction VV Santana, CM Rebello, LP Queiroz, AM Ribeiro, N Shardt, ... Chemical Engineering Science 286, 119623, 2024 | 1 | 2024 |
| Improved modeling of crystallization processes by Universal Differential Equations FARD Lima, CM Rebello, EA Costa, VV Santana, MGF de Moares, ... Chemical Engineering Research and Design 200, 538-549, 2023 | 1 | 2023 |
| Scents of AI: Harnessing Graph Neural Networks to Craft Fragrances Based on Consumer Feedback BCL Rodrigues, VV Santana, L de Pinho Queiroz, CM Rebello, ... Preprints, 2023 | 1 | 2023 |
| Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis RVA Santos, C Rebello, A Prudente, VV Santana, AFP Ferreira, ... Industrial & Engineering Chemistry Research 62 (41), 16811-16826, 2023 | 1 | 2023 |
