Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies
Complex micro-morphologies can dictate the physical behavior of materials and their interactions with other objects but are difficult to classify. Here, machine learning may be a useful tool; however, missing expertise and small samples sizes often prevent experimental scientists from making use of...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2026-03-01
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| Seria: | Materials Today Advances |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S2590049826000238 |
| Etykiety: |
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