Machine Learning-Based Corrosion Prediction Model for Steel Structures
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61287-9_30
Reference24 articles.
1. Sutojo, T., et al.: A machine learning approach for corrosion small datasets. npj Mater. Degrad. 7(1), 18 (2023)
2. Ji, Y., et al.: Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data. npj Mater. Degrad. 6(1), 83 (2022)
3. Nash, W., Zheng, L., Birbilis, N.: Deep learning corrosion detection with confidence. npj Mater. Degrad. 6(1), 26 (2022)
4. Coelho, L.B., Zhang, D., Van Ingelgem, Y., Steckelmacher, D., Nowé, A., Terryn, H.: Reviewing machine learning of corrosion prediction in a data-oriented perspective. npj Mater. Degrad. 6(1), 8 (2022)
5. Ankit Roy, M.F.N., Taufique, H.K., Devanathan, R., Johnson, D.D., Balasubramanian, G.: Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys. npj Mater. Degrad. 6(1), 9 (2022)
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