Jérôme Mendes

Orcid: 0000-0003-4616-3473

According to our database1, Jérôme Mendes authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Container-based Virtualization for Real-time Industrial Systems - A Systematic Review.
ACM Comput. Surv., March, 2024

2023
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability.
Int. J. Fuzzy Syst., October, 2023

Federated Learning Optimization for Energy Communities in Smart Cities.
Proceedings of the IEEE International Smart Cities Conference, 2023

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit.
Proceedings of the 20th International Conference on Informatics in Control, 2023

Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification.
Expert Syst. Appl., 2022

Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems.
IEEE Access, 2022

Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Prediction of Key Variables in Wastewater Treatment Plants Using Machine Learning Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants.
Proceedings of the IECON 2022, 2022

Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms.
Proceedings of the IECON 2022, 2022

Electric Vehicle Physical Parameters Identification.
Proceedings of the IECON 2022, 2022

2021
Novelty Detection for Iterative Learning of MIMO Fuzzy Systems.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020
Regenerative braking system modeling by fuzzy Q-Learning.
Eng. Appl. Artif. Intell., 2020

Automatic Calibration of Forest Fire Weather Index For Independent Customizable Regions Based on Historical Records.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2020

2019
Neo-fuzzy neuron learning using backfitting algorithm.
Neural Comput. Appl., 2019

Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems.
Proceedings of the IECON 2019, 2019

2018
H<sub>∞</sub> Adaptive Fuzzy Control Approach Applied to Antilock-Braking Systems Over a CAN Network.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Intelligent Controller for Industrial Processes Applied to a Distributed Two-Tank System.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory.
Eur. J. Control, 2017

Online evolving fuzzy control design: An application to a CSTR plant.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2014
Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm.
Eng. Appl. Artif. Intell., 2014

Self-adaptive Takagi-Sugeno model identification methodology for industrial control processes.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Evolutionary learning of a fuzzy controller for industrial processes.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013
Adaptive fuzzy identification and predictive control for industrial processes.
Expert Syst. Appl., 2013

A comparison of adaptive PID methodologies controlling a DC motor with a varying load.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

2012
Genetic fuzzy system for data-driven soft sensors design.
Appl. Soft Comput., 2012

Fuzzy model predictive control for nonlinear processes.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

Evolutionary fuzzy models for nonlinear identification.
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

2011
An architecture for adaptive fuzzy control in industrial environments.
Comput. Ind., 2011

Adaptive predictive control with recurrent fuzzy neural network for industrial processes.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Automatic extraction of the fuzzy control system for industrial processes.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Stable indirect adaptive predictive fuzzy control for industrial processes.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

2010
Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010


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