Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response
Abstract The identification of gas mixtures is critical in chemical engineering, food safety, environmental science, and medical applications. This study employs a four-sensor array to classify ethylene-methane and ethylene-carbon monoxide (CO) mixtures, with concentrations ranging from 0 to 20 ppm...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2025-10-01
|
| シリーズ: | Scientific Reports |
| オンライン・アクセス: | https://doi.org/10.1038/s41598-025-19063-x |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|
