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Hyperspectral imaging for chemicals identification: a human-inspired machine learning approach
Data analysis has increasingly relied on machine learning in recent years. Since machines implement mathematical algorithms without knowing the physical nature of the problem, they may be accurate but lack the flexibility to move across different domains. This manuscript presents a machine-educating...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584913/ https://www.ncbi.nlm.nih.gov/pubmed/36266530 http://dx.doi.org/10.1038/s41598-022-22468-7 |