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Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks
There is an increasing demand for acquiring details of food nutrients especially among those who are sensitive to food intakes and weight changes. To meet this need, we propose a new approach based on deep learning that precisely estimates the composition of carbohydrates, proteins, and fats from hy...
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| Wydane w: | Sensors (Basel) |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6480044/ https://ncbi.nlm.nih.gov/pubmed/30935139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071560 |
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