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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