| Characterization of subsurface cracks in eddy current testing using machine learning methods F Barrarat, K Rayane, B Helifa, IK Lefkaier International Journal of Numerical Modelling: Electronic Networks, Devices …, 2022 | 17 | 2022 |
| Effect of diffusion annealing on borides layers produced on XC38 steel K Rayane, O Allaoui, A Allaoui Acta Physica Polonica A 132 (3), 521-523, 2017 | 14 | 2017 |
| Application of Artificial Neural Network for prediction of boride layer depth obtained on XC38 steel in molten salts K Rayane, O Allaoui Defect and Diffusion Forum 365, 194-199, 2015 | 10 | 2015 |
| Thermodynamic reassessment of Fe-N and Fe-NC systems R Kouba, K Rayane, M Keddam Calphad 71, 102197, 2020 | 5 | 2020 |
| Effects of thermo-mechanical parameters on microstructural and mechanical properties of API X70 steel S Zidelmel, K Rayane, A Kaouka JOM, 1-8, 2024 | 4 | 2024 |
| Fast and efficient inversion methods for crack sizing using Bz magnetic signature F Barrarat, S Bensaid, K Rayane, B Helifa, IK Lefkaier, A Zorig International Journal of Numerical Modelling: Electronic Networks, Devices …, 2023 | 4 | 2023 |
| New design of rotating eddy current probe for arbitrary orientation cracks detection F Barrarat, K Rayane, B Helifa, S Bensaid, IK Lefkaier Sensor Review 43 (4), 280-294, 2023 | 4 | 2023 |
| Modelling Phases Formed during Boriding for Estimation of the Depth of Boron through the Growing in Substrate by the Lattice Boltzmann Method AT Debicha, K Rayane, O Allaoui Defect and Diffusion Forum 369, 177-181, 2016 | 1 | 2016 |
| Optimal design of an eddy current sensor for detecting and characterizing cracks by data inversion: parametric study F Barrarat, B Helifa, S Bensaid, IK Lefkaier, K Rayane Kerntechnik, 2025 | | 2025 |
| Defect Reconstruction Using Multilayer Perceptron for Regression and Classification Tasks Based On Eddy Current Signatures F Barrarat, B Helifa, IK Lefkaier, S Bensaid, K Rayane Materials Evaluation 82 (10), 47-56, 2024 | | 2024 |
| Estimation of surface cracks in eddy current testing by the neuro-fuzzy system F Barrarat, K Rayane, B Helifa, S Bensaid, IK Lefkaier, D Touil Inductics: Analysis, Multi-physical Modelling, and Optimal Design of …, 2022 | | 2022 |
| Reconstruction of defect size and shape in eddy-current testing using benchmark problems validation and neural network approach F Barrarat, K Rayane, B Helifa, B Chettouh, IK Lefkaier Journal of Fundamental and Applied Sciences 12 (1), 78-88, 2020 | | 2020 |
| Simulation et Modélisation atomique de la diffusion atomique dans les solides K Rayane Université Amar Telidji de Laghouat, Département de Génie M, 2016 | | 2016 |
| Application of machine learning methods for analyzing Non-destructive testing data F BARARAT Ecole normale supérieure de Laghouat-Taleb Abderrahmane, 0 | | |
| Inverse Problem in Eddy Current Testing using Machine Learning F Barrarat, K Rayane, B Helifa | | |
Lefkaier Ibn khaldounProfesseur de physique, université de Laghouat, AlgérieDirección de correo verificada de lagh-univ.dz
