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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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Vydáno v:Sensors (Basel)
Hlavní autoři: Ahn, DaeHan, Choi, Ji-Young, Kim, Hee-Chul, Cho, Jeong-Seok, Moon, Kwang-Deog, Park, Taejoon
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2019
Témata:
On-line přístup: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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