{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T18:41:07Z","timestamp":1776278467141,"version":"3.50.1"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T00:00:00Z","timestamp":1613174400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Smart Data Analysis Systems group"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this reason, the present work shows the development of a wireless sensor network that, through machine learning techniques, can be classified into three different types of environments: high pollution levels, medium pollution and no noticeable contamination into the Ibarra City. To achieve this goal, signal smoothing stages, prototype selection, feature analysis and a comparison of classification algorithms are performed. As relevant results, there is a classification performance of 95% with a significant noisy data reduction.<\/jats:p>","DOI":"10.1093\/jigpal\/jzab005","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T21:23:36Z","timestamp":1610573016000},"page":"599-610","source":"Crossref","is-referenced-by-count":6,"title":["Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study"],"prefix":"10.1093","volume":"30","author":[{"given":"Paul D","family":"Rosero-Montalvo","sequence":"first","affiliation":[{"name":"Department of Computer Science and Automatics, Universidad de Salamanca , 37008 Salamanca, Spain, and Department of Applied Sciences, Universidad T\u00e9cnica del Norte, 100150 Ibarra, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vivian F","family":"L\u00f3pez-Batista","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Automatics, Universidad de Salamanca , 37008 Salamanca, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo","family":"Arciniega-Rocha","sequence":"additional","affiliation":[{"name":"Department of Technologies, Instituto Tecnol\u00f3gico Superior 17 de Julio , Urcuqu\u00ed 100650, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego H","family":"Peluffo-Ord\u00f3\u00f1ez","sequence":"additional","affiliation":[{"name":"Department of Engineering Corporaci\u00f3n Universitaria Aut\u00f3noma de Nari\u00f1o , Pasto 520002, Colombia, and Modeling, Simulation and Data Analysis (MSDA) Research Program, Mohammed VI Polytechnic University, Ben Guerir 43150, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,2,13]]},"reference":[{"key":"2022072013381636000_ref1","author":"Saha"},{"key":"2022072013381636000_ref2","author":"Wang"},{"key":"2022072013381636000_ref3","author":"Sujatha"},{"key":"2022072013381636000_ref4","doi-asserted-by":"crossref","first-page":"2598","DOI":"10.1109\/JSEN.2016.2514378","article-title":"Urban air pollution monitoring system with forecasting models","volume":"16","author":"Bashir Shaban","year":"2016","journal-title":"IEEE Sensors Journal"},{"key":"2022072013381636000_ref5","author":"Maraj"},{"key":"2022072013381636000_ref6","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/978-3-319-14711-6_12","article-title":"Basic Principle and Practical Implementation of Near-Infrared Spectroscopy (NIRS)","volume-title":"Smart Sensors and Systems","author":"Bae","year":"2015"},{"key":"2022072013381636000_ref7","first-page":"126","volume":"2017","author":"L. Peng, F. Danni, J. Shengqian, W. Mingjie","year":"2017","journal-title":"The 2nd International Conference on Cybernetics, Robotics and Control (CRC)"},{"key":"2022072013381636000_ref8","author":"Quality Expert Group"},{"key":"2022072013381636000_ref9","first-page":"75","volume":"2018","author":"P. D. Rosero-Montalvo, J. A. Caraguay-Procel, E. D. Jaramillo, J. M. Michilena-Calderon, A. C. Umaquinga-Criollo, M. Mediavilla-Valverde, M. A. Ruiz, L. A. Beltran, D. H. Peluffo","year":"2018","journal-title":"International Conference on Information Systems and Computer Science (INCISCOS)"},{"key":"2022072013381636000_ref10","author":"Law","journal-title":"Development of the Indoor Air Quality Index for Commercial Buildings in Hong Kong"},{"key":"2022072013381636000_ref11","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-14711-6","volume-title":"Smart Sensors and Systems","author":"Lin","year":"2015"},{"key":"2022072013381636000_ref12","doi-asserted-by":"crossref","DOI":"10.1109\/WoWMoM.2017.7974338","article-title":"Distributed sensor data computing in smart city applications","volume-title":"In IEEE 18th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM)","author":"Wang","year":"2017"},{"key":"2022072013381636000_ref13","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1007\/978-3-030-29859-3_58","article-title":"Urban pollution environmental monitoring system using iot devices and data visualization: a case study","volume-title":"Hybrid Artificial Intelligent Systems","author":"Rosero-Montalvo","year":"2019"},{"key":"2022072013381636000_ref14","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1007\/978-3-030-02686-8_65","article-title":"Intelligence in embedded systems: overview and applications","volume-title":"Proceedings of the Future Technologies Conference (FTC), 2018","author":"Rosero-Montalvo","year":"2019"},{"key":"2022072013381636000_ref15","article-title":"Classifying sources influencing indoor air quality (iaq) using artificial neural network (ann)","volume-title":"Sensors","author":"Saad","year":"2015"},{"key":"2022072013381636000_ref16","doi-asserted-by":"publisher","DOI":"10.1109\/WPNC.2011.5961035","article-title":"Mobile sensors in air pollution measurement","volume-title":"The 8th Workshop on Positioning, Navigation and Communication","year":"2011"},{"key":"2022072013381636000_ref17","doi-asserted-by":"crossref","DOI":"10.1109\/RTSI.2016.7740617","article-title":"Polluino: An efficient cloud-based management of IoT devices for air quality monitoring","volume-title":"IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI)","author":"Fioccola"},{"key":"2022072013381636000_ref18","doi-asserted-by":"crossref","DOI":"10.1109\/USYS.2017.8309441","article-title":"Internet of Things (IoT) for measuring and monitoring sensors data of water surface platform","volume-title":"The 7th International Conference on Underwater System Technology: Theory and Applications (USYS)","author":"Kafli"},{"key":"2022072013381636000_ref19","doi-asserted-by":"crossref","DOI":"10.1109\/CCAA.2017.8230005","article-title":"Air quality monitoring system based on IoT using Raspberry Pi","volume-title":"The 2017 International Conference on Computing Communication and Automation (ICCCA)","author":"Kumar","year":"2017"},{"key":"2022072013381636000_ref20","doi-asserted-by":"crossref","DOI":"10.1109\/ICISIM.2017.8122148","article-title":"An approach for classification of health risks based on air quality levels","volume-title":"The 1st International Conference on Intelligent Systems and Information Management (ICISIM)","author":"Gore"},{"key":"2022072013381636000_ref21","doi-asserted-by":"crossref","DOI":"10.1109\/ICT.2017.7998277","article-title":"A web of things based eco-system for urban computing - towards smarter cities","volume-title":"The 24th International Conference on Telecommunications (ICT)","author":"Kamilaris"},{"key":"2022072013381636000_ref22"},{"key":"2022072013381636000_ref23","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1109\/IIPHDW.2018.8388373","article-title":"Review and comparison of smoothing algorithms for one-dimensional data noise reduction","volume":"2018","author":"Kowalski","year":"2018","journal-title":"International Interdisciplinary PhD Workshop (IIPhDW)"},{"key":"2022072013381636000_ref24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/INISTA.2015.7276737","article-title":"A novel hybrid method for determining the depth of anesthesia level: Combining relieff feature selection and random forest algorithm (relieff+rf)","author":"Peker","year":"2015.","journal-title":"International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)"},{"key":"2022072013381636000_ref25","first-page":"160","article-title":"A chi-square statistics based feature selection method in text classification","volume":"2018","author":"Zhai","year":"2018","journal-title":"The 9th International Conference on Software Engineering and Service Science (ICSESS)"}],"container-title":["Logic Journal of the IGPL"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jigpal\/article-pdf\/30\/4\/599\/45027475\/jzab005.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jigpal\/article-pdf\/30\/4\/599\/45027475\/jzab005.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T13:39:31Z","timestamp":1658324371000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jigpal\/article\/30\/4\/599\/6133990"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,13]]},"references-count":25,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2,13]]},"published-print":{"date-parts":[[2022,7,25]]}},"URL":"https:\/\/doi.org\/10.1093\/jigpal\/jzab005","relation":{},"ISSN":["1367-0751","1368-9894"],"issn-type":[{"value":"1367-0751","type":"print"},{"value":"1368-9894","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,7,19]]},"published":{"date-parts":[[2021,2,13]]}}}