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Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor
Electronic nose (e-nose) technology for selectively identifying a target gas through chemoresistive sensors has gained much attention for various applications, such as smart factory and personal health monitoring. To overcome the cross-reactivity problem of chemoresistive sensors to various gas spec...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113244/ https://www.ncbi.nlm.nih.gov/pubmed/37072383 http://dx.doi.org/10.1038/s41377-023-01120-7 |