Use of Machine Learning and Infrared Spectra for Rheological Characterization and Application to the Apricot

Fast advancement of machine learning methods and constant growth of the areas of application open up new horizons for large data management and processing. Among the various types of data available for analysis, the Fourier Transform InfraRed (FTIR) spectroscopy spectra are very challenging datasets...

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Detalles Bibliográficos
Autores principales: Cadet, Xavier F., Lo-Thong, Ophélie, Bureau, Sylvie, Dehak, Reda, Bessafi, Miloud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915699/
https://www.ncbi.nlm.nih.gov/pubmed/31844151
http://dx.doi.org/10.1038/s41598-019-55543-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915699/
https://www.ncbi.nlm.nih.gov/pubmed/31844151
http://dx.doi.org/10.1038/s41598-019-55543-7

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