Project detail
Optimization of One-Dimensional Convolutional Neural Network for Corrosion Prediction in Subsea Pipelines
January 2023 – February 2024
Completed
AI/ML
Redesigned and optimized 1D-CNN architecture for real-time corrosion prediction in subsea pipeline monitoring, achieving high accuracy through Bayesian hyperparameter tuning and adaptive gradient methods.
Technologies
Python
PyTorch
1D-CNN
Bayesian Optimization
NumPy
Project Links
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