Achraf Jabeur Telmoudi
Orcid: 0000-0001-5823-4641
According to our database1,
Achraf Jabeur Telmoudi
authored at least 43 papers
between 2008 and 2024.
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Bibliography
2024
Enhancing Model Robustness in Battery Health Prediction through Advanced Input Features.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024
Knapsack algorithm for data communication description and energy management in Internet of Things System: Smart Grid.
Proceedings of the 10th International Conference on Control, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
J. Intell. Robotic Syst., February, 2023
Intelligence Artificial Algorithm-Based on Sliding Mode Control MPPT for a Photovoltaic System.
Proceedings of the 9th International Conference on Control, 2023
2022
Cybern. Syst., 2022
Cybern. Syst., 2022
Comparison of Deep Learning Architectures for Short-Term Electrical Load Forecasting Based on Multi-Modal Data.
Cybern. Syst., 2022
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
A Comparative study of three AI prediction algorithms based on measured databases for an optimal Smart Grid.
Proceedings of the 8th International Conference on Control, 2022
Prediction of aging electric vehicle battery by multi-physics modeling and deep learning method.
Proceedings of the 8th International Conference on Control, 2022
2021
Int. J. Sens. Networks, 2021
Prediction of aging of battery for electric vehicles based on a modified version of neural networks.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Deep Learning Algorithm to Predict The Integration Efficiency Of Wind Turbine In Smart Grid.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
2020
Modeling and state of health estimation of nickel-metal hydride battery using an EPSO-based fuzzy c-regression model.
Soft Comput., 2020
Parameters identification and discharge capacity prediction of Nickel-Metal Hydride battery based on modified fuzzy c-regression models.
Neural Comput. Appl., 2020
Parameter estimation of nonlinear systems using a robust possibilistic c-regression model algorithm.
J. Syst. Control. Eng., 2020
Cybern. Syst., 2020
Minimum Initial Marking Estimation of Labeled Petri Nets Based on GRASP Inspired Method (GMIM).
Cybern. Syst., 2020
IEEE Access, 2020
Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling.
IEEE Access, 2020
Proceedings of the 7th International Conference on Control, 2020
Proceedings of the 7th International Conference on Control, 2020
2019
Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers.
Soft Comput., 2019
Proceedings of the Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 2019
Towards a Minimum Initial Marking Estimation Procedure for P-Time Labelled Petri net Systems.
Proceedings of the 6th International Conference on Control, 2019
2018
J. Syst. Control. Eng., 2018
Identification of pH neutralization process based on a modified adaptive fuzzy c-regression algorithm.
Proceedings of the 7th International Conference on Systems and Control, 2018
An Improved Genetic Algorithm with Local Search for Solving the DJSSP with New Dynamic Events.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018
Parameter identification and state of heath evaluation for Nickel-Metal Hydride batteries based on an improved clustering algorithm.
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018
2017
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017
Proceedings of the 4th International Conference on Control, 2017
Effective Lyapunov level set for nonlinear optimal control. Application to turbocharged diesel engine model.
Proceedings of the 4th International Conference on Control, 2017
Stochastic cases of the dynamic job shop problem based on the genetic algorithm to minimize.
Proceedings of the 4th International Conference on Control, 2017
2016
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016
Proceedings of the International Conference on Control, 2016
A new approach based on Global Velocity Particle Swarm Optimization to solve job-shop scheduling problems, PSO-VG-JSSP.
Proceedings of the International Conference on Control, 2016
2012
Int. J. Inf. Technol. Decis. Mak., 2012
2009
Modeling of Robustness Margins of the Control of a Predictive Control-Supervisory Architecture.
J. Univers. Comput. Sci., 2009
2008
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008