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An FPGA-Based Machine Learning Tool for In-Situ Food Quality Tracking Using Sensor Fusion
The continuous development of more accurate and selective bio- and chemo-sensors has led to a growing use of sensor arrays in different fields, such as health monitoring, cell culture analysis, bio-signals processing, or food quality tracking. The analysis and information extraction from the amount...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534206/ https://www.ncbi.nlm.nih.gov/pubmed/34677322 http://dx.doi.org/10.3390/bios11100366 |