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...

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Detalles Bibliográficos
Autores principales: Dutta, Ritaban, Dutta, Ritabrata
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research
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

Internet

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

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