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Deep Neural Networks for the Classification of Pure and Impure Strawberry Purees
In this paper, a comparative study of the effectiveness of deep neural networks (DNNs) in the classification of pure and impure purees is conducted. Three different types of deep neural networks (DNNs)—the Gated Recurrent Unit (GRU), the Long Short Term Memory (LSTM), and the temporal convolutional...
Sparad:
| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7070323/ https://ncbi.nlm.nih.gov/pubmed/32102254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20041223 |
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