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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6915699/ https://ncbi.nlm.nih.gov/pubmed/31844151 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-55543-7 |
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