Moisture Content Prediction in Polymer Composites Using Machine Learning Techniques

The principal objective of this study is to employ non-destructive broadband dielectric spectroscopy/impedance spectroscopy and machine learning techniques to estimate the moisture content in FRP composites under hygrothermal aging. Here, classification and regression machine learning models that ca...

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Detalles Bibliográficos
Autores principales: Das, Partha Pratim, Rabby, Monjur Morshed, Vadlamudi, Vamsee, Raihan, Rassel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611357/
https://www.ncbi.nlm.nih.gov/pubmed/36297980
http://dx.doi.org/10.3390/polym14204403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611357/
https://www.ncbi.nlm.nih.gov/pubmed/36297980
http://dx.doi.org/10.3390/polym14204403

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