Review of soft sensor methods for regression applications FAA Souza, R Araújo, J Mendes Chemometrics and Intelligent Laboratory Systems 152, 69-79, 2016 | 302 | 2016 |
Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control CAC Belchior, RAM Araújo, JAC Landeck Computers & Chemical Engineering 37, 152-162, 2012 | 186 | 2012 |
Electric vehicle simulator for energy consumption studies in electric mobility systems R Maia, M Silva, R Araújo, U Nunes 2011 IEEE Forum on Integrated and Sustainable Transportation Systems, 227-232, 2011 | 128 | 2011 |
Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine T Matias, F Souza, R Araújo, CH Antunes Neurocomputing 129, 428-436, 2014 | 107 | 2014 |
Electrical vehicle modeling: A fuzzy logic model for regenerative braking R Maia, M Silva, R Araújo, U Nunes Expert systems with applications 42 (22), 8504-8519, 2015 | 100 | 2015 |
An adaptive ensemble of on-line extreme learning machines with variable forgetting factor for dynamic system prediction SG Soares, R Araújo Neurocomputing 171, 693-707, 2016 | 83 | 2016 |
Eigenvalue decay: A new method for neural network regularization O Ludwig, U Nunes, R Araujo Neurocomputing 124, 33-42, 2014 | 80 | 2014 |
An on-line weighted ensemble of regressor models to handle concept drifts SG Soares, R Araújo Engineering Applications of Artificial Intelligence 37, 392-406, 2015 | 77 | 2015 |
Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development S Soares, CH Antunes, R Araújo Neurocomputing 121, 498-511, 2013 | 73 | 2013 |
Adaptive fuzzy identification and predictive control for industrial processes J Mendes, R Araújo, F Souza Expert Systems with Applications 40 (17), 6964-6975, 2013 | 71 | 2013 |
Applications of information theory, genetic algorithms, and neural models to predict oil flow O Ludwig Jr, U Nunes, R Araújo, L Schnitman, HA Lepikson Communications in Nonlinear Science and Numerical Simulation 14 (7), 2870-2885, 2009 | 71 | 2009 |
Learning sensor-based navigation of a real mobile robot in unknown worlds R Araújo, AT De Almeida IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 67 | 1999 |
A dynamic and on-line ensemble regression for changing environments SG Soares, R Araújo Expert Systems with Applications 42 (6), 2935-2948, 2015 | 62 | 2015 |
RobChair-a powered wheelchair using a behaviour-based navigation G Pires, R Araújo, U Nunes, AT De Almeida AMC'98-Coimbra. 1998 5th International Workshop on Advanced Motion Control …, 1998 | 52 | 1998 |
Online mixture of univariate linear regression models for adaptive soft sensors F Souza, R Araújo IEEE Transactions on Industrial Informatics 10 (2), 937-945, 2013 | 51 | 2013 |
Online identification of Takagi–Sugeno fuzzy models based on self-adaptive hierarchical particle swarm optimization algorithm S Rastegar, R Araujo, J Mendes Applied mathematical modelling 45, 606-620, 2017 | 50 | 2017 |
Prune-able fuzzy ART neural architecture for robot map learning and navigation in dynamic environments Araujo IEEE Transactions on Neural Networks 17 (5), 1235-1249, 2006 | 48 | 2006 |
Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm J Mendes, R Araújo, T Matias, R Seco, C Belchior Engineering Applications of Artificial Intelligence 29, 70-78, 2014 | 47 | 2014 |
Genetic fuzzy system for data-driven soft sensors design J Mendes, F Souza, R Araújo, N Gonçalves Applied Soft Computing 12 (10), 3237-3245, 2012 | 47 | 2012 |
Tracking of multi-obstacles with laser range data for autonomous vehicles S Santos, JE Faria, F Soares, R Araújo, U Nunes Proc. 3rd National Festival of Robotics Scientific Meeting (ROBOTICA), 59-65, 2003 | 47 | 2003 |