Impact of a Diverse Combination of Metal Oxide Gas Sensors on Machine Learning-Based Gas Recognition in Mixed Gases

[Image: see text] A challenge for chemiresistive-type gas sensors distinguishing mixture gases is that for highly accurate recognition, massive data processing acquired from various types of sensor configurations must be considered. The impact of data processing is indeed ineffective and time-consum...

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Detalles Bibliográficos
Autores principales: Bae, Garam, Kim, Minji, Song, Wooseok, Myung, Sung, Lee, Sun Sook, An, Ki-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444204/
https://www.ncbi.nlm.nih.gov/pubmed/34549116
http://dx.doi.org/10.1021/acsomega.1c02721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444204/
https://www.ncbi.nlm.nih.gov/pubmed/34549116
http://dx.doi.org/10.1021/acsomega.1c02721

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