An embedded application system for data collection of atmospheric pollutants with a classification approach

Eduardo Solòrzano-Alor, Amadeo Josè Argüelles-Cruz, Marìa Isabel Cajero-Lázaro, Miguel Sánchez-Meraz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer International Publishing Switzerland 2015. This paper shows the application of an embedded system with a wireless sensor network to collect atmospheric pollutants data obtained from sensors placed into micro-climates; such dataset provides the information required to test classification algorithms, that helps to develop applications to improve air quality in specific areas.
Original languageAmerican English
Title of host publicationAn embedded application system for data collection of atmospheric pollutants with a classification approach
Pages560-571
Number of pages502
ISBN (Electronic)9783319270593
DOIs
StatePublished - 1 Jan 2015
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9413
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

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Cite this

Solòrzano-Alor, E., Argüelles-Cruz, A. J., Cajero-Lázaro, M. I., & Sánchez-Meraz, M. (2015). An embedded application system for data collection of atmospheric pollutants with a classification approach. In An embedded application system for data collection of atmospheric pollutants with a classification approach (pp. 560-571). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9413). https://doi.org/10.1007/978-3-319-27060-9_46