| A Bayesian approach to the dynamic modeling of ESP-lifted oil well systems: An experimental validation on an ESP prototype EA Costa, OSL de Abreu, TO Silva, MP Ribeiro, L Schnitman Journal of Petroleum Science and Engineering 205, 108880, 2021 | 12 | 2021 |
| On application of a zone IHMPC to an ESP-lifted oil well system RM Fontes, EA Costa, OSL Abreu, MAF Martins, L Schnitman Congresso Brasileiro de Automática-CBA 2 (1), 2020 | 9 | 2020 |
| Tromboembolismo pulmonar em Covid-19 DS Amorim, FLO Lima, EAS Costa Hematology, Transfusion and Cell Therapy 42, 562, 2020 | 9 | 2020 |
| 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 |
| 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 new method for the vibration amplitude assessment of the ESP systems considering the vibration orbit G Reges, M Fontana, E Costa, A Lima, M Ribeiro, L Schnitman Journal of Petroleum Science and Engineering 211, 110214, 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 |
| Controlador preditivo com estabilidade garantida em duas camadas para sistemas com polos integradores repetidos EA Costa, IML PATARO, FSP DE ALMEIDA, MAF MARTINS Congresso Brasileiro de Automática-CBA 1 (1), 2019 | 2 | 2019 |
| Controle preditivo com estabilidade nominal garantida para sistemas integradores com polos repetidos EA Costa Escola Politécnica, 2017 | 2 | 2017 |
| 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 |
| Controle preditivo nominalmente estável aplicado a um sistema barra e bola EA Costa, MAF Martins, L Schnitiman, RA Kalid Anais do XXI Congresso Brasileiro de Automática, 732-737, 2016 | 1 | 2016 |
| ANÁLISE DE DESEMPENHO DE UM TROCADOR DE CALOR INDUSTRIAL CONSIDERANDO A IN-CERTEZA DE MEDIÇÃO EA Costa, MAF Martins, JKO Fernandes, RA Kalid | 1 | |
