TY - GEN
T1 - An embedded application system for data collection of atmospheric pollutants with a classification approach
AU - Solòrzano-Alor, Eduardo
AU - Argüelles-Cruz, Amadeo Josè
AU - Cajero-Lázaro, Marìa Isabel
AU - Sánchez-Meraz, Miguel
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Atmospheric pollutants
KW - Classifier algorithms
KW - Embedded system
KW - Micro-climates
KW - Waspmote
UR - http://www.scopus.com/inward/record.url?scp=84951950343&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27060-9_46
DO - 10.1007/978-3-319-27060-9_46
M3 - Contribución a la conferencia
SN - 9783319270593
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 560
EP - 571
BT - Advances in Artificial Intelligence and Soft Computing - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Proceedings
A2 - Sidorov, Grigori
A2 - Galicia-Haro, SofÍa N.
PB - Springer Verlag
T2 - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015
Y2 - 25 October 2015 through 31 October 2015
ER -