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Hacene Mellah
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2020 – today
- 2022
- [c3]Hacene Mellah, Kamel Eddine Hemsas, Hamza Sahraoui, Rachid Taleb, Ismail Bouyakoub:
Estimation of Speed, Stator and Rotor Winding Temperature of an Induction Machine Using a CFNN. SSD 2022: 990-996 - [c2]Hacene Mellah, Kamel Eddine Hemsas, Abdelghani Yahiou, Carlo Cecati, Hamza Sahraoui, Rachid Taleb:
Comparing performances of three CFNN used for DC machine combined parameter and states estimation. SSD 2022: 2102-2108 - [c1]Abdelghani Yahiou, Abdelhafid Bayadi, Hacene Mellah, Mokhtar Abid, Mohamad Salem R'gueyeg, Abderaouf Ouadi Merabet:
Inrush Current Influence on the Hysteresis Loop of a Single-Phase Transformer. SSD 2022: 18171-18179 - [i5]Amar Maafa, Hacene Mellah, Kaci Ghedamsi, Djamal Aouzellag:
Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter. CoRR abs/2208.11140 (2022) - 2021
- [i4]Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb:
Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines. CoRR abs/2104.04348 (2021) - [i3]Bouchaoui Lahcene, Kamel Eddine Hemsas, Hacene Mellah, Saad Eddine Benlahneche:
Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study. CoRR abs/2108.10205 (2021) - [i2]Hamza Sahraoui, Hacene Mellah, Saïd Drid, Larbi Chrifi-Alaoui:
Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid. CoRR abs/2110.13246 (2021)
2010 – 2019
- 2019
- [i1]Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb:
Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor. CoRR abs/1901.08661 (2019) - 2018
- [j1]Hacene Mellah, Kamel Eddine Hemsas, Rachid Taleb, Carlo Cecati:
Estimation of speed, armature temperature, and resistance in brushed DC machines using a CFNN based on BFGS BP. Turkish J. Electr. Eng. Comput. Sci. 26(6): 3182-3192 (2018)
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