{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T16:02:19Z","timestamp":1784304139969,"version":"3.55.0"},"reference-count":37,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T00:00:00Z","timestamp":1680739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fondo Nacional de Desarrollo Cient\u00edfico, Tecnol\u00f3gico y de Innovaci\u00f3n Tecnol\u00f3gica (Fondecyt)\u2014Mundial Bank","award":["50-2018-FONDECYT-BM-IADT-MU"],"award-info":[{"award-number":["50-2018-FONDECYT-BM-IADT-MU"]}]},{"name":"Fondo Nacional de Desarrollo Cient\u00edfico, Tecnol\u00f3gico y de Innovaci\u00f3n Tecnol\u00f3gica (Fondecyt)\u2014Mundial Bank","award":["PI0731"],"award-info":[{"award-number":["PI0731"]}]},{"name":"\u201cHorizonte Ciudadano\u201d Foundation","award":["50-2018-FONDECYT-BM-IADT-MU"],"award-info":[{"award-number":["50-2018-FONDECYT-BM-IADT-MU"]}]},{"name":"\u201cHorizonte Ciudadano\u201d Foundation","award":["PI0731"],"award-info":[{"award-number":["PI0731"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A variety of low-cost sensors have recently appeared to measure air quality, making it feasible to face the challenge of monitoring the air of large urban conglomerates at high spatial resolution. However, these sensors require a careful calibration process to ensure the quality of the data they provide, which frequently involves expensive and time-consuming field data collection campaigns with high-end instruments. In this paper, we propose machine-learning-based approaches to generate calibration models for new Particulate Matter (PM) sensors, leveraging available field data and models from existing sensors to facilitate rapid incorporation of the candidate sensor into the network and ensure the quality of its data. In a series of experiments with two sets of well-known PM sensor manufacturers, we found that one of our approaches can produce calibration models for new candidate PM sensors with as few as four days of field data, but with a performance close to the best calibration model adjusted with field data from periods ten times longer.<\/jats:p>","DOI":"10.3390\/s23073776","type":"journal-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T08:41:52Z","timestamp":1680770512000},"page":"3776","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6540-1230","authenticated-orcid":false,"given":"Edwin","family":"Villanueva","sequence":"first","affiliation":[{"name":"Engineering Department, Pontificia Universidad Cat\u00f3lica del Per\u00fa, 1801 Universitaria Av., San Miguel, Lima 15088, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9881-1367","authenticated-orcid":false,"given":"Soledad","family":"Espezua","sequence":"additional","affiliation":[{"name":"Departamento Acad\u00e9mico de Ingenier\u00eda, Universidad del Pac\u00edfico, 2020 Salaverry Av., Jes\u00fas Mar\u00eda, Lima 15072, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George","family":"Castelar","sequence":"additional","affiliation":[{"name":"Subgerencia de Gesti\u00f3n Ambiental, Municipalidad Metropolitana de Lima, Palacio Municipal, Lima 15001, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyara","family":"Diaz","sequence":"additional","affiliation":[{"name":"Subgerencia de Gesti\u00f3n Ambiental, Municipalidad Metropolitana de Lima, Palacio Municipal, Lima 15001, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erick","family":"Ingaroca","sequence":"additional","affiliation":[{"name":"Subgerencia de Gesti\u00f3n Ambiental, Municipalidad Metropolitana de Lima, Palacio Municipal, Lima 15001, Peru"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,6]]},"reference":[{"key":"ref_1","unstructured":"Observatory, G.H. 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