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....
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
PeerJ Inc.
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/aaa6a0e47c764b6a84f3619f7c817abc |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Sea el primero en dejar un comentario!