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...

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Detalles Bibliográficos
Autores principales: Kendler, Shai, Mano, Ziv, Aharoni, Ran, Raich, Raviv, Fishbain, Barak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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