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. |
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| 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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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-19063-x |
