| A comprehensive review on bypass diode application on photovoltaic modules RG Vieira, FMU de Araújo, M Dhimish, MIS Guerra Energies 13 (10), 2472, 2020 | 137 | 2020 |
| Fuzzy control system for variable rate irrigation using remote sensing WR Mendes, FMU Araújo, R Dutta, DM Heeren Expert systems with applications 124, 13-24, 2019 | 97 | 2019 |
| A simple technique for identifying a linearized model for a didactic magnetic levitation system RKH Galvão, T Yoneyama, FMU de Araújo, RG Machado IEEE Transactions on Education 46 (1), 22-25, 2003 | 61 | 2003 |
| Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection RG Vieira, M Dhimish, FMU de Araújo, MI da Silva Guerra Expert systems with applications 201, 117248, 2022 | 27 | 2022 |
| Fuzzy wavelet neural network using a correntropy criterion for nonlinear system identification LLS Linhares, AIR Fontes, AM Martins, FMU Araújo, LFQ Silveira Mathematical Problems in Engineering 2015, 2015 | 26 | 2015 |
| Assessment and certification of neonatal incubator sensors through an inferential neural network JM De Araújo, JMP De Menezes, AA Moura de Albuquerque, ... Sensors 13 (11), 15613-15632, 2013 | 23 | 2013 |
| Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems RCB Rego, FMU de Araujo Engineering Applications of Artificial Intelligence 107, 104519, 2022 | 21 | 2022 |
| Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes JMM de Lima, FMU de Araujo Neurocomputing 462, 154-168, 2021 | 21 | 2021 |
| Sistemas de controle FM Araújo Apontamentos. UFRN. Departamento de Engenharia de Computação e Automação …, 2007 | 20 | 2007 |
| PV module fault detection using combined artificial neural network and sugeno fuzzy logic RG Vieira, M Dhimish, FMU de Araújo, MIS Guerra Electronics 9 (12), 2150, 2020 | 18 | 2020 |
| Industrial semi-supervised dynamic soft-sensor modeling approach based on deep relevant representation learning JM Moreira de Lima, FM Ugulino de Araújo Sensors 21 (10), 3430, 2021 | 16 | 2021 |
| Nonlinear system identification based on modified ANFIS JKE da Costa Martins, FMU de Araújo 2015 12th International Conference on Informatics in Control, Automation and …, 2015 | 15 | 2015 |
| Assessing maximum power point tracking intelligent techniques on a PV system with a buck–boost converter MIS Guerra, FM Ugulino de Araújo, M Dhimish, RG Vieira Energies 14 (22), 7453, 2021 | 14 | 2021 |
| Nonlinear control system with reinforcement learning and neural networks based lyapunov functions RCB Rego, FMU de Araújo IEEE Latin America Transactions 19 (8), 1253-1260, 2021 | 14 | 2021 |
| NARX model identification using correntropy criterion in the presence of non-Gaussian noise ÍBQ Araújo, JPF Guimarães, AIR Fontes, LLS Linhares, AM Martins, ... Journal of Control, Automation and Electrical Systems 30, 453-464, 2019 | 14 | 2019 |
| Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems MIS Guerra, FMU de Araújo, JT de Carvalho Neto, RG Vieira Energy Systems, 1-37, 2022 | 13 | 2022 |
| Learning‐based robust neuro‐control: A method to compute control Lyapunov functions RCB Rego, FMU de Araújo International Journal of Robust and Nonlinear Control 32 (5), 2644-2661, 2022 | 13 | 2022 |
| Optimal design of digital low pass finite impulse response filter using particle swarm optimization and bat algorithm AGV Severino, LLS Linhares, FMU de Araújo 2015 12th International Conference on Informatics in Control, Automation and …, 2015 | 13 | 2015 |
| O processo de formulação e implementação de planejamento estratégico em instituições do setor público FD Araújo, CA Gonçalves Revista de administração da Universidade Federal de Santa Maria 4 (3), 458-476, 2011 | 13 | 2011 |
| Implementação de controladores pid utilizando lógica fuzzy e instrumentação industrial FGF Júnior, JSB Lopes, AL Maitelli, FMU Araújo, L Oliveira VII Simpósio Brasileiro Automação Inteligente, São Luiz, Brazil, 27-30, 2005 | 12 | 2005 |
