The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples

Alternative and non-destructive analytical methods that predict analyte concentration accurately and immediately in a specific matrix are becoming vital in the analytical chemistry domain. Here, a new innovative and rapid method of predicting mass loss of cement samples based on a combination of Mac...

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Detalles Bibliográficos
Autores principales: Diane, Abderrahim, Saffaj, Taoufiq, Ihssane, Bouchaib, Rabie, Reda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256915/
https://www.ncbi.nlm.nih.gov/pubmed/37305509
http://dx.doi.org/10.1016/j.heliyon.2023.e15898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256915/
https://www.ncbi.nlm.nih.gov/pubmed/37305509
http://dx.doi.org/10.1016/j.heliyon.2023.e15898

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