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Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers
Since consuming gutter oil does great harm to people’s health, the Food Safety Administration has always been seeking for a more effective and timely supervision. As laboratory tests consume much time, and existing field tests have excessive limitations, a more comprehensive method is in great need....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627233/ https://www.ncbi.nlm.nih.gov/pubmed/34901430 http://dx.doi.org/10.7717/peerj-cs.774 |