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...

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Detalles Bibliográficos
Autores principales: Cho, Incheol, Lee, Kichul, Sim, Young Chul, Jeong, Jae-Seok, Cho, Minkyu, Jung, Heechan, Kang, Mingu, Cho, Yong-Hoon, Ha, Seung Chul, Yoon, Kuk-Jin, Park, Inkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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