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Use of Deep Learning Networks and Statistical Modeling to Predict Changes in Mechanical Parameters of Contaminated Bone Cements

The purpose of the study was to test the usefulness of deep learning artificial neural networks and statistical modeling in predicting the strength of bone cements with defects. The defects are related to the introduction of admixtures, such as blood or saline, as contaminants into the cement at the...

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Detalhes bibliográficos
Publicado no:Materials (Basel)
Main Authors: Machrowska, Anna, Szabelski, Jakub, Karpiński, Robert, Krakowski, Przemysław, Jonak, Józef, Jonak, Kamil
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7731130/
https://ncbi.nlm.nih.gov/pubmed/33260793
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma13235419
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