Open access
Aug 2026
Improving corrosion depth estimation in buried pipelines using SMOTE-integrated machine and deep learning models
Accurate prediction of corrosion depth in buried pipelines is essential for integrity assessment, reducing inspection and maintenance costs, and managing risk in pipeline transportation systems. Although machine learning (ML) and deep learning (DL) techniques have been widely applied to corrosion prediction, their reli...
M. AlOmar, M. Hameed, Osama Khamees Ali et al.
· PLoS ONE · 0 citations