Estimation of speed, armature temperature, and resistance in brushed DC machines using a CFNN based on BFGS BP. - Hacene Mellah; Kamel Eddine Hemsas; Rachid Taleb; Carlo Cecati (Turkish J. Electr. Eng. Comput. Sci., 2018)

Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor. - Hacene Mellah; Kamel Eddine Hemsas; Rachid Taleb (CoRR, 2019)

Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines. - Hacene Mellah; Kamel Eddine Hemsas; Rachid Taleb (CoRR, 2021)

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. - Bouchaoui Lahcene; Kamel Eddine Hemsas; Hacene Mellah; Saad Eddine Benlahneche (CoRR, 2021)

Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid. - Hamza Sahraoui; Hacene Mellah; Saïd Drid; Larbi Chrifi-Alaoui (CoRR, 2021)

Estimation of Speed, Stator and Rotor Winding Temperature of an Induction Machine Using a CFNN. - Hacene Mellah; Kamel Eddine Hemsas; Hamza Sahraoui; Rachid Taleb; Ismail Bouyakoub (SSD, 2022)

Comparing performances of three CFNN used for DC machine combined parameter and states estimation. - Hacene Mellah; Kamel Eddine Hemsas; Abdelghani Yahiou; Carlo Cecati; Hamza Sahraoui; Rachid Taleb (SSD, 2022)

Inrush Current Influence on the Hysteresis Loop of a Single-Phase Transformer. - Abdelghani Yahiou; Abdelhafid Bayadi; Hacene Mellah; Mokhtar Abid; Mohamad Salem R'gueyeg; Abderaouf Ouadi Merabet (SSD, 2022)

Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter. - Amar Maafa; Hacene Mellah; Kaci Ghedamsi; Djamal Aouzellag (CoRR, 2022)