{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T21:47:33Z","timestamp":1768427253758,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Recently, the emergence of low-cost sensors have allowed electronic noses to be considered for densifying the actual air pollution monitoring networks in urban areas. Electronic noses are affected by changes in environmental conditions and sensor drifts over time. Therefore, they need to be calibrated periodically and also individually because the characteristics of identical sensors are slightly different. For these reasons, the calibration process has become very expensive and time consuming. To cope with these drawbacks, calibration transfer between systems constitutes a satisfactory alternative. Among them, direct standardization shows good efficiency for calibration transfer. In this paper, we propose to improve this method by using kernel SPXY (sample set partitioning based on joint x-y distances) for data selection and support vector machine regression to match between electronic noses. The calibration transfer approach introduced in this paper was tested using two identical electronic noses dedicated to monitoring nitrogen dioxide. Experimental results show that our method gave the highest efficiency compared to classical direct standardization.<\/jats:p>","DOI":"10.3390\/s18113716","type":"journal-article","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T11:31:47Z","timestamp":1541071907000},"page":"3716","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Support Vector Machine Regression for Calibration Transfer between Electronic Noses Dedicated to Air Pollution Monitoring"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1648-8587","authenticated-orcid":false,"given":"Rachid","family":"Laref","sequence":"first","affiliation":[{"name":"Laboratoire de Conception, Optimisation et Mod\u00e9lisation des Syst\u00e8mes, LCOMS EA 7306, Universit\u00e9 de Lorraine, 57000 Metz, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3324-3813","authenticated-orcid":false,"given":"Etienne","family":"Losson","sequence":"additional","affiliation":[{"name":"Laboratoire de Conception, Optimisation et Mod\u00e9lisation des Syst\u00e8mes, LCOMS EA 7306, Universit\u00e9 de Lorraine, 57000 Metz, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5263-4959","authenticated-orcid":false,"given":"Alexandre","family":"Sava","sequence":"additional","affiliation":[{"name":"Laboratoire de Conception, Optimisation et Mod\u00e9lisation des Syst\u00e8mes, LCOMS EA 7306, Universit\u00e9 de Lorraine, 57000 Metz, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Siadat","sequence":"additional","affiliation":[{"name":"Laboratoire de Conception, Optimisation et Mod\u00e9lisation des Syst\u00e8mes, LCOMS EA 7306, Universit\u00e9 de Lorraine, 57000 Metz, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.measurement.2018.07.004","article-title":"Validation and application of a novel solution for environmental monitoring: A three months study at \u201cMinerva Medica\u201d archaeological site in Rome","volume":"129","author":"Palermo","year":"2018","journal-title":"Measurement"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"12242","DOI":"10.3390\/s150612242","article-title":"A Low-Cost Sensing System for Cooperative Air Quality Monitoring in Urban Areas","volume":"15","author":"Brienza","year":"2015","journal-title":"Sensors"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.5194\/amt-11-1297-2018","article-title":"Field calibration of electrochemical NO2 sensors in a citizen science context","volume":"11","author":"Mijling","year":"2018","journal-title":"Atmos. 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