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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 9467878, 12 pages
http://dx.doi.org/10.1155/2016/9467878
Research Article

Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning

1Department of Computer Science and Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01890, Republic of Korea
2Department of Embedded Software Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01890, Republic of Korea
3Department of Computer Engineering, College of Information Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
4Korea Oceanic and Atmospheric System Technology, No. 1503, STX W-Tower, 90, Gyeongin-ro 53-gil, Guro-gu, Seoul 08215, Republic of Korea
5Observation Research Division, National Institute of Meteorological Sciences, 33 Seohobuk-ro, Seogwipo-gi, Jeju-do 63568, Republic of Korea
6Geography and Environment, University of Southampton, University Road, Southampton SO17 1BJ, UK

Received 6 November 2015; Accepted 9 June 2016

Academic Editor: Elio Masciari

Copyright © 2016 Yong-Hyuk Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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