Tawfik Guesmi

Orcid: 0000-0001-8221-2610

According to our database1, Tawfik Guesmi authored at least 14 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Optimal Design of a PMSM for Electric Vehicle Using Chaotic Particle Swarm Optimization.
IEEE Access, 2024

Effective Diagnosis Approach for Broken Rotor Bar Fault Using Bayesian-Based Optimization of Machine Learning Hyperparameters.
IEEE Access, 2024

FPGA Implementation of Robust and Secure Transmission Cryptosystem for Satellite Images.
IEEE Access, 2024

Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors.
IEEE Access, 2024

2023
A Novel Strong S-Box Design Using Quantum Crossover and Chaotic Boolean Functions for Symmetric Cryptosystems.
Symmetry, March, 2023

2021
Leveraging Software-Defined Networking Approach for Future Information-Centric Networking Enhancement.
Symmetry, 2021

Implementing a Symmetric Lightweight Cryptosystem in Highly Constrained IoT Devices by Using a Chaotic S-Box.
Symmetry, 2021

2018
Dual-Input Power System Stabilizer Design via JAYA Algorithm.
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018

2017
A new method for the coordinated design of power system damping controllers.
Eng. Appl. Artif. Intell., 2017

2015
Eigenvalue Assignments in Multimachine Power Systems using Multi-Objective PSO Algorithm.
Int. J. Energy Optim. Eng., 2015

MOPSO approach to solve profit based unit commitment problem (PBUCP).
Proceedings of the 4th International Conference on Systems and Control, 2015

Steady state stability in power systems including nonlinear voltage dependent loads.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

2013
Optimal number, location and parameter setting of multiple TCSCs for security and system loadability enhancement.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013

Real-time stability enhancement based on neural fuzzy networks and genetic algorithms.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013


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