Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset.
In: Advances in Engineering Software, Jg. 192 (2024-06-01), S. N.PAG
academicJournal
Zugriff:
Titel: |
Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset.
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Autor/in / Beteiligte Person: | Guzmán-Torres, J.A. ; Domínguez-Mota, F.J. ; Tinoco-Guerrero, G. ; Tinoco-Ruíz, J.G. ; Alonso-Guzmán, E.M. |
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Zeitschrift: | Advances in Engineering Software, Jg. 192 (2024-06-01), S. N.PAG |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0965-9978 (print) |
DOI: | 10.1016/j.advengsoft.2024.103630 |
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