Publications

[27] J. Júnior, J. Mendes, F. Souza and C. Premebida, Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 2025. [doi]

[26]. N. Mendes, J. Mendes, J. Mohammadi and P. Moura. Federated learning framework for prediction of net energy demand in transactive energy communities. Sustainable Energy, Grids and Networks, 2024.  [doi]

[25]. J. Júnior, C. Gaspar, J. Mendes and C. Premebida . Assessing interpretability of data-driven Fuzzy models: application in industrial regression problems. Expert Systems, 2024.  [doi]

[24]. J. Pereira, J. Mendes, J. Júnior, C. Viegas and J. Paulo . Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model. Engineering Applications of Artificial Intelligence, 2024.  [doi]

[23]. G. Gouveia, J. Alves, P.  Sousa, R. Araújo and J. Mendes. A modular industrial hardware control system for smart industries. Processes, 2024.  [doi]

[22].  R. Queiroz, T. Cruz, J. Mendes, P. Sousa and P. Simões. Container-based Virtualization for Real-Time Industrial Systems – A Systematic Review. ACM Computing Surveys, 2024. [doi]

[21].  J. Júnior, J. Mendes, F. Souza and C. Premebida. Survey on Deep Fuzzy Systems in regression applications: a view on interpretability. International Journal of Fuzzy Systems, 2023.  [doi]

[20]. J. E. Tafula, C. D. Justo, P. Moura, J. Mendes and A. Soares. Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique. Energies, 2023. [doi]

[19]. B. de Matos, R. Salles, J. Mendes, J. R. Gouveia, A. J. Baptista and P. Moura. A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs. Mathematics,  2023. [doi]

[18]. M. Gonçalves, P. Sousa, J. Mendes, M. Danishvar, and A. Mousavi. Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems. IEEE Access, 2022. [doi]

[17]. L. Laím, J. Mendes, H. D. Craveiro, A. Santiago, and C. Melo. Structural optimization of closed built-up cold-formed steel columns. Journal of Constructional Steel Research, 2022. [doi]

[16]. J. S. S. Júnior, J. R. Paulo, J. Mendes, D. Alves, L. M. Ribeiro, and C. Viegas. Automatic Forest Fire Danger Rating Calibration: Exploring Clustering Techniques For Regionally Customizable Fire Danger Classification. Expert Systems With Applications, 2022. [doi]

[15]. J. Pereira, J. Mendes, J. S. S. Júnior, C. Viegas, and J. R. Paulo. A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration. Mathematics, 2022. [doi]

[14]. F. Souza, J. Mendes, and R. Araújo. A regularized mixture of linear experts for quality prediction in multimode and multiphase industrial processes. Applied Sciences, 2021. [doi]

[13]. J. Mendes, R. Maia, R. Araújo, and F. A. A. Souza. Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules. Applied Science, 2020. [doi]

SOFTWARE: uSelf-FLC Toolbox

[12]. R. Maia, J. Mendes, R. Araújo, M. Silva, and U. Nunes. Regenerative braking system modeling by fuzzy Q-learning. Engineering Applications of Artificial Intelligence, 2020. [doi]

[11]. J. Mendes, F. Souza, R. Araújo, and S. Rastegar. Neo-fuzzy neuron learning using backfitting algorithm. Neural Computing and Applications, 2019. [doi]

SOFTWARE: GAM-ZOTS Toolbox

[10]. J. Mendes, L. Osório, and R. Araújo. Self-tuning pid controllers in pursuit of plug and play capacity. Control Engineering Practice,  2017. [doi]

SOFTWARE: Self-Tuning PID Controllers Toolbox

[9]. S. Rastegar, R. Araújo, and J. Mendes. Online Identification of Takagi–Sugeno Fuzzy Models Based on Self-Adaptive Hierarchical Particle Swarm Optimization Algorithm. Applied Mathematical Modelling,  2017. [doi]

[8]. S. Rastegar, R. Araújo, J. Sadati and J. Mendes. A Novel Robust Control Scheme for LTV Systems Using Output Integral Discrete-Time Synergetic Control Theory. European Journal of Control, 2017. [doi]

[7]. F. A. A. Souza, R. Araújo, and J. Mendes. Review of soft sensors methods for regression applications. Chemometrics and Intelligent Laboratory Systems, 2016. [doi]

[6]. S. Rastegar, R. Araújo, and J. Mendes. A new approach for online t-s fuzzy identification and model predictive control of nonlinear systems. Journal of Vibration and Control, 2016. [doi]

[5]. J. Mendes, R. Araújo, T. Matias, R. Seco, C. Belchior. Automatic Extraction of the Fuzzy Control System by a Hierarchical Genetic Algorithm. Engineering Applications of Artificial Intelligence, 2014. [doi]

[4]. J. Mendes, R. Araújo, F. Souza. Adaptive fuzzy identification and predictive control for industrial processes. Expert Systems with Applications, 2013. [doi]

[3]. F. Souza, R. Araújo, T. Matias, J. Mendes. A Multilayer-Perceptron Based Method for Variable Selection in Soft Sensor Design. Journal of Process Control, 2013. [doi]

[2]. J. Mendes, F. Souza, R. Araújo, Nuno Gonçalves. Genetic fuzzy system for data-driven soft sensors design. Applied Soft Computing, 2012. [doi]

[1]. J. Mendes, R. Araújo, P. Sousa, F. Apóstolo, and L. Alves. An architecture for adaptive fuzzy control in industrial environments. Computers in Industry, 2011. [doi]

[1] J. Júnior, J. Mendes, F. Souza, C. Premebida. Explainable Deep Fuzzy Systems Applied to Sulfur Recovery Unit.  2024. In: Pedrycz, W., Chen, SM. (eds) Machine Learning and Granular Computing: A Synergistic Design Environment. Studies in Big Data, Springer. [doi]

[39]. N. Mendes, J. Mendes, and P. Moura. Prediction of Net Energy Demand for the Management of Transactive Energy Communities. The 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24), Kitakyushu-city, 2024.

[38]. R. Salles, J. Leiria, and J. Mendes. Data entry errors detection for industrial quality control variables. The 16th APCA International Conference on Automatic Control and Soft Computing (CONTROLO 2024),  Porto, 2024.

[37]. N. Mendes, J. Mendes, N. Gonçalves, and P. Moura. Energy Management Framework for Transactive Energy Communities. The 22nd IEEE Mediterranean Electrotechnical Conference (IEEE MELECON 2024), Porto, 2024. [doi]

[36]. M. Amaro, J. Mendes, T. Matias, and R. Araújo. Adaptive fuzzy generalized predictive control of ph in tubular photobioreactors on microalgae plant. The 2nd IEEE Industrial Electronics Society Annual Online Conference (IESONCON 2023), Online, 2023.  [doi]

[35]. J. S. S. Júnior, J. Mendes, F. Souza, and C. Premebida. Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. The 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023), Rome, 2023.  [doi]

[34]. N. Mendes, P. Moura, J. Mendes, C. H. Antunes, and J. Mohammadi. Federated Learning Optimization for Energy Communities in Smart Cities. The 9th IEEE International Smart Cities Conference (ISC2 2023), Bucharest, 2023.  [doi]

[33]. C. Viegas, J. Paulo, J. Mendes, L. Ribeiro, A. G. Lopes, J. Silva, J. Mira and A. I. Miranda. IMFire - An Intelligent Wildfire Management and Decision Support System. The 8th International Wildland Fire Conference, Porto, 2023. [doi]

[32]. G. Mendes, N. Alexandre, J. Tabora, M. Tostes, E. Matos, U. Holanda de Bezerra, P. Moura, J. Mendes, F. J. T. E. Ferreira, A. Almeida. ANN for Motor Loading Diagnosis under Voltage Variation Conditions. The 4th IEEE Kansas Power & Energy Conference (KPEC 2023), Manhattan, 2023.  [doi]

[31]. J. Leiria, R. Salles, J. Mendes, and P. Sousa. Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models. The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), Rome, 2023. [doi]

[30]. J. Alves, P. Sousa, B. Matos, J. Mendes, F. Souza and T. Matias. Modular Cyber-Physical System for Smart Industry: a Case Study on Energy Load Disaggregation. The 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), Rome, 2023. [doi]

[29]. R. Salles, J. Mendes, C. H. Antunes, P. Moura, and J. Dias. Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants. The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, 2022. [doi]

SOFTWARE: DySetpoint Toolbox

[28]. J. Pereira, J. Mendes, J. S. S. Júnior, C. Viegas, and J. R. Paulo. Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms. The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, 2022. [doi]

[27]. R. Maia, J. Mendes, and R. Araújo. Electric vehicle physical parameters identification by evolutionary algorithms. The 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, 2022. [doi]

[26]. N. Mendes, P. Moura, J. Mendes, R. Salles, and J. Mohammadi. Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities. The 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2022. [doi]

[25]. R. Salles, J. Mendes, R. Araújo, C. Melo, and P. Moura. Prediction of key variables in wastewater treatment plants using machine learning models. IEEE World Congress on Computational Intelligence (WCCI 2022), Padova, 2022. [doi]

SOFTWARE: ML-WWTP Toolbox

[24]. J. Alves, P. Sousa, P. Serrano, and J. Mendes. Adaptable monitoring and control platform for residential environments. The 19th International Conference on Sustainable Energy Technologies (SET 2022), Istanbul, 2022.

[23]. R. Salles, J. Mendes, R. P. Ribeiro, and J. Gama. Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data. The 7th Workshop on Data Science for Social Good, Grenoble, 2022. [doi]

SOFTWARE: FD-WWTP Toolbox

[22]. J. S. S. Júnior, J. Mendes, R. Araújo, J. R. Paulo and C. Premebida. Novelty Detection for Iterative Learning of MIMO Fuzzy Systems. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), Palma de Mallorca, 2021. [doi]

Best Paper Award of the conference

[21]. J. S. S. Júnior, J. Paulo, J. Mendes, D. Alves, and L. M. Ribeiro. Automatic calibration of forest fire weather index for independent customizable regions based on historical records. The 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2020), California, 2020. [doi]

[20]. J. Mendes, F. A. A. Souza, R. Maia, and R. Araújo. Iterative learning of multiple univariate zero-order t-s fuzzy systems. The IEEE 45th Annual Conference of the Industrial Electronics Society (IECON 2019), Lisbon, 2019. [doi]

SOFTWARE: iMU-ZOTS Toolbox

[19]. J. Mendes, R. Maia, R. Araújo, and G. Gouveia. Intelligent controller for industrial processes applied to a distributed two-tank system. The 1st IEEE International Conference on Artificial Intelligence for Industries (AI4I 2018), California, 2018. [doi]

[18]. J. Mendes, R. Maia, R. Araújo, and G. Gouveia. Evolving fuzzy controller, and application to a distributed two-tank process. The 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), Banda Aceh, 2018. [doi]

[17]. R. Pereira, R. Araújo, J. Mendes, R. Maia, and G. Gouveia. Sun-synchronous satellite simulation on khronosim, the new system testing architecture. The 2018 IEEE International Conference on Electrical Engineering and Informatics (ICELTICS 2018), Banda Aceh, 2018. [doi]

Best Paper Award of the conference

[16]. C. Belchior, R. Araújo, J. Mendes, A. Chaves, and R. Maia. H-infinity adaptive fuzzy control approach applied to antilock-braking systems over a CAN network. The 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018), Torino, 2018. [doi]

[15]. J. Mendes, A. Craveiro, and R. Araújo. Iterative design of a mamdani fuzzy controller. The 13th APCA/IEEE International Conference on Automatic Control and Soft Computing (CONTROLO 2018), Azores 2018. [doi]

[14]. J. Mendes, F. Souza and R. Araújo. Online Evolving Fuzzy Control Design: An Application to a CSTR Plant. IEEE 15th International Conference on Industrial Informatics (INDIN 2017), Emden, 2017. [doi]

SOFTWARE: SEDFLC Toolbox

[13]. J. Mendes, R. Araújo, T. Matias, R. Seco, and C. Belchior. Evolutionary learning of a fuzzy controller for industrial processes. The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), Texas, 2014. [doi]

[12]. T. Matias, F. Souza, R. Araújo, S. Rastegar, and J. Mendes. Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), Texas, 2014. [doi]

[11]. S. Rastegar, R. Araújo, J. Mendes, T. Matias, and A. Emami. Self-adaptive takagi-sugeno model identification methodology for industrial control processes. The 40th Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), Texas 2014. [doi]

[10]. L. Osório, J. Mendes, R. Araújo, and T. Matias. A comparison of adaptive PID methodologies controlling a DC motor with a varying load. The 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, 2012. [doi]

[9]. J. Mendes and R. Araújo. Fuzzy model predictive control for nonlinear processes. The 17th IEEE International Conference on Emerging Technologies and Factory Automation/ (ETFA 2012), Kraków, 2012. [doi]

[8]. J. Mendes, S. Pinto, R. Araújo, F. Souza. Evolutionary fuzzy models for nonlinear identification. The 17th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2012), Kraków, 2012. [doi]

[7]. J. Mendes, N. Sousa, and R. Araújo. Adaptive predictive control with recurrent fuzzy neural network for industrial processes. The 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, 2011. [doi]

[6]. J. Mendes, R. Seco, and R. Araújo. Automatic extraction of the fuzzy control system for industrial processes. The 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, 5-9 2011. [doi]

[5]. J. Mendes and R. Araújo. Stable indirect adaptive predictive fuzzy control for industrial processes. The 16th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2011), Toulouse, 2011. IEEE. [doi]

[4]. J. Mendes, R. Araújo, F. Souza. Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model. The 15th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, 2010. [doi]

[3]. J. Mendes, and R. Araújo. Adaptive fuzzy model-based predictive control: a lyapunov approach. The 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, 2010. 

[2]. J. Mendes, R. Araújo, P. Sousa, F. Apóstolo, and L. Alves. Fuzzy control architecture for industrial systems. The 9th Portuguese Conference on Automatic Control (CONTROLO 2010), Coimbra, 2010.

[1]. F. Souza, R. Araújo, S. Soares, J. Mendes. Variable Selection Based on Mutual Information for Soft Sensors Applications. The 9th Portuguese Conference on Automatic Control, (CONTROLO 2010), Coimbra, 2010.