Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods

Machine learning methods enable the electronic nose (E-Nose) for precise odor identification with both qualitative and quantitative analysis. Advanced machine learning methods are crucial for the E-Nose to gain high performance and strengthen its capability in many applications, including robotics,...

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Detalles Bibliográficos
Autores principales: Ye, Zhenyi, Liu, Yuan, Li, Qiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619411/
https://www.ncbi.nlm.nih.gov/pubmed/34833693
http://dx.doi.org/10.3390/s21227620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619411/
https://www.ncbi.nlm.nih.gov/pubmed/34833693
http://dx.doi.org/10.3390/s21227620

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