Machine learning driven prediction of mechanical properties of rolled aluminum and development of an in-situ quality control method based on electrical resistivity measurement
Research output: Contribution to journal › Article › Research › peer-review
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| Original language | English |
|---|---|
| Pages (from-to) | 158-177 |
| Number of pages | 20 |
| Journal | Journal of manufacturing processes |
| Volume | 106.2023 |
| Issue number | 24 November |
| DOIs | |
| Publication status | E-pub ahead of print - 5 Oct 2023 |
