{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T11:27:01Z","timestamp":1790508421812,"version":"4.1.0"},"reference-count":31,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T00:00:00Z","timestamp":1756425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Dongying City Scientific Development Fund Project","award":["DJ2022010"],"award-info":[{"award-number":["DJ2022010"]}]},{"name":"Dongying City Scientific Development Fund Project","award":["2023KY0400"],"award-info":[{"award-number":["2023KY0400"]}]},{"name":"Dongying City Scientific Development Fund Project","award":["2025JGX049"],"award-info":[{"award-number":["2025JGX049"]}]},{"name":"Dongying City Scientific Development Fund Project","award":["2025HKJ0006"],"award-info":[{"award-number":["2025HKJ0006"]}]},{"name":"Guangxi Higher Education Young and Middle-aged Teachers\u2019 Research Capability Enhancement Project","award":["DJ2022010"],"award-info":[{"award-number":["DJ2022010"]}]},{"name":"Guangxi Higher Education Young and Middle-aged Teachers\u2019 Research Capability Enhancement Project","award":["2023KY0400"],"award-info":[{"award-number":["2023KY0400"]}]},{"name":"Guangxi Higher Education Young and Middle-aged Teachers\u2019 Research Capability Enhancement Project","award":["2025JGX049"],"award-info":[{"award-number":["2025JGX049"]}]},{"name":"Guangxi Higher Education Young and Middle-aged Teachers\u2019 Research Capability Enhancement Project","award":["2025HKJ0006"],"award-info":[{"award-number":["2025HKJ0006"]}]},{"name":"Undergraduate Teaching Reform Project of Nanning Normal University","award":["DJ2022010"],"award-info":[{"award-number":["DJ2022010"]}]},{"name":"Undergraduate Teaching Reform Project of Nanning Normal University","award":["2023KY0400"],"award-info":[{"award-number":["2023KY0400"]}]},{"name":"Undergraduate Teaching Reform Project of Nanning Normal University","award":["2025JGX049"],"award-info":[{"award-number":["2025JGX049"]}]},{"name":"Undergraduate Teaching Reform Project of Nanning Normal University","award":["2025HKJ0006"],"award-info":[{"award-number":["2025HKJ0006"]}]},{"name":"Horizontal Project of Shandong Institute of Petroleum and Chemical Technology","award":["DJ2022010"],"award-info":[{"award-number":["DJ2022010"]}]},{"name":"Horizontal Project of Shandong Institute of Petroleum and Chemical Technology","award":["2023KY0400"],"award-info":[{"award-number":["2023KY0400"]}]},{"name":"Horizontal Project of Shandong Institute of Petroleum and Chemical Technology","award":["2025JGX049"],"award-info":[{"award-number":["2025JGX049"]}]},{"name":"Horizontal Project of Shandong Institute of Petroleum and Chemical Technology","award":["2025HKJ0006"],"award-info":[{"award-number":["2025HKJ0006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Micromachines"],"abstract":"<jats:p>Sensor arrays serve a crucial role in various fields such as environmental monitoring, industrial process control, and medical diagnostics, yet their reliability remains challenged by sensor drift and noise contamination. This study presents a novel framework for real-time data error correction and long-term drift compensation utilizing an iterative random forest-based error correction algorithm paired with an Incremental Domain-Adversarial Network (IDAN). The iterative random forest algorithm leverages the collective data from multiple sensor channels to identify and rectify abnormal sensor responses in real time. The IDAN integrates domain-adversarial learning principles with an incremental adaptation mechanism to effectively manage temporal variations in sensor data. Experiments utilizing the metal oxide semiconductor gas sensor array drift dataset demonstrate that the combination of these approaches significantly enhances data integrity and operational efficiency, achieving a robust and good accuracy even in the presence of severe drift. This study underscores the efficacy of integrating advanced artificial intelligence techniques for the ongoing evolution of sensor array technology, paving the way for enhanced monitoring systems capable of sustaining high levels of performance over extended time periods.<\/jats:p>","DOI":"10.3390\/mi16090991","type":"journal-article","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T09:18:57Z","timestamp":1756977537000},"page":"991","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Real-Time Correction and Long-Term Drift Compensation in MOS Gas Sensor Arrays Using Iterative Random Forests and Incremental Domain-Adversarial Networks"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7319-7260","authenticated-orcid":false,"given":"Xiaorui","family":"Dong","sequence":"first","affiliation":[{"name":"School of Big Data and Basic Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying 257000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shijing","family":"Han","sequence":"additional","affiliation":[{"name":"School of Natural Resources and Surveying, Nanning Normal University, Nanning 530001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2595","DOI":"10.1021\/cr980102w","article-title":"Cross-Reactive Chemical Sensor Arrays","volume":"100","author":"Albert","year":"2000","journal-title":"Chem. 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