Sahith Sayani, J.K. and Lal, B. (2023) Machine Learning in Corrosion. Springer Nature, pp. 59-79. ISBN 9783031242311; 9783031242304
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
This chapter presents the advances and progress on the use of machine learning in corrosion. Specifically, the use of machine learning to predict corrosion rate in pipelines. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
| Item Type: | Book |
|---|---|
| Additional Information: | cited By 0 |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 04 Jun 2024 14:11 |
| Last Modified: | 04 Jun 2024 14:11 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/19095 |
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