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....
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/aaa6a0e47c764b6a84f3619f7c817abc |
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