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Fatima Barrarat

Observed names: Barrarat, Fatima, F Barrarat, F. Barrarat
ORCID: 0000-0002-4663-5795
Observed ORCID: 0000-0002-4663-5795
OpenAlex ID: A5082558048
Characterization of subsurface cracks in eddy current testing using machine learning methods
2021 · Fatima Barrarat, Karim Rayane, et al. · International Journal of Numerical Modelling Electronic Networks Devices and Fields · 19
Fast and efficient inversion methods for crack sizing using Bz magnetic signature
2023 · Fatima Barrarat, Samir Bensaid, et al. · International Journal of Numerical Modelling Electronic Networks Devices and Fields · 6
New design of rotating eddy current probe for arbitrary orientation cracks detection
2023 · Fatima Barrarat, Karim Rayane, et al. · Sensor Review · 5
Optimal design of an eddy current sensor for detecting and characterizing cracks by data inversion: parametric study
2025 · Fatima Barrarat, Bachir Helifa, et al. · Kerntechnik · 2
Reconstruction of Defect Size and Shape in Eddy-current Testing Using Benchmark Problems Validation and Neural Network Approach
2020 · Fatima Barrarat, Karim Rayane, et al. · Journal of Fundamental and Applied Sciences · 2
Statistical optimization and neural network-based characterization using a copper-core eddy current probe
2026 · Malak Ghennai, Abderraouf Bouloudenine, et al. · Kerntechnik
High-Frequency Eddy-Current Testing for Layup Characterization in CFRP Laminates Using Probe Rotation
2026 · Fatima Barrarat, Maren Rake, et al. · SSRN Electronic Journal
Sensitivity enhancement by modelling for fracture detection in eddy current testing using square-shaped excitation coils
2025 · F Barrarat, B Helifa, et al. · Insight - Non-Destructive Testing and Condition Monitoring
Defect Reconstruction Using Multilayer Perceptron for Regression and Classification Tasks Based On Eddy Current Signatures
2024 · F. Barrarat, B. Helifa, et al. · Materials Evaluation
Estimation of surface cracks in eddy current testing by the neuro-fuzzy system
2022 · Barrarat, Fatima, Rayane, Karim, et al. · HAL
Works count: 10
Citation count: 34
H-index: 3
I10-index: 1
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