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MetaloPulse AI is a predictive framework that transforms passive metal structures into intelligent systems using IoT sensors and a Dual-Head LSTM deep learning architecture to monitor corrosion in real-time. The system achieves a classification accuracy of 94.2% for corrosion regimes and a Mean Absolute Error of 2.4 days for predicting Remaining Useful Life. This innovation shifts maintenance practices from reactive to autonomous predictive maintenance, enhancing infrastructure integrity and efficiency.

Author
ay7804059
Language
EN