Supervised machine learning models for predicting the maximum depth of corrosion defects based on historical in-line inspection data

  • Eyad Alshaye

Student thesis: Master's Thesis

Date of Award24 Dec 2024
Original languageEnglish
SupervisorAtif AlZahrani (Supervisor)

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