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Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response.

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Title: Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response.
Authors: Ansari G; Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, 201204, Uttar Pradesh, India. ghazala.vlsi@gmail.com., Singh R; Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, 201204, Uttar Pradesh, India., Kumar S; Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology, Greater Noida, 201310, Uttar Pradesh, India., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. nfsoliman@pnu.edu.sa.
Source: Scientific reports [Sci Rep] 2025 Oct 03; Vol. 15 (1), pp. 34472. Date of Electronic Publication: 2025 Oct 03.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ansari+G%22">Ansari G</searchLink>; Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, 201204, Uttar Pradesh, India. ghazala.vlsi@gmail.com.<br /><searchLink fieldCode="AU" term="%22Singh+R%22">Singh R</searchLink>; Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, 201204, Uttar Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Kumar+S%22">Kumar S</searchLink>; Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology, Greater Noida, 201310, Uttar Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Soliman+NF%22">Soliman NF</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. nfsoliman@pnu.edu.sa.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Oct 03; Vol. 15 (1), pp. 34472. <i>Date of Electronic Publication: </i>2025 Oct 03.
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        Value: 10.1038/s41598-025-19063-x
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