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Intelligent Bayes Classifier (IBC) for ENT infection classification in hospital environment
Electronic Nose based ENT bacteria identification in hospital environment is a classical and challenging problem of classification. In this paper an electronic nose (e-nose), comprising a hybrid array of 12 tin oxide sensors (SnO(2)) and 6 conducting polymer sensors has been used to identify three s...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764885/ https://www.ncbi.nlm.nih.gov/pubmed/17176476 http://dx.doi.org/10.1186/1475-925X-5-65 |