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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...

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主要な著者: Ghazala Ansari, Rupali Singh, Sachin Kumar, Naglaa F. Soliman
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
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