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Article (Scientific journals)
Comparison of Supervised Learning Techniques for Atmospheric Pollutant Monitoring in a Kraft Pulp Mill
Sainlez, Matthieu
;
Heyen, Georges
2013
•
In
Journal of Computational and Applied Mathematics, 246
, p. 329--334
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/16297
DOI
10.1016/j.cam.2012.06.026
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Keywords :
Dynamic approach; Pollutant monitoring; Supervised learning
Disciplines :
Computer science
Author, co-author :
Sainlez, Matthieu
;
University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Heyen, Georges
Language :
English
Title :
Comparison of Supervised Learning Techniques for Atmospheric Pollutant Monitoring in a Kraft Pulp Mill
Publication date :
2013
Journal title :
Journal of Computational and Applied Mathematics
ISSN :
1879-1778
Publisher :
Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, Unknown/unspecified
Volume :
246
Pages :
329--334
Peer reviewed :
Peer Reviewed verified by ORBi
Additional URL :
http://dx.doi.org/10.1016/j.cam.2012.06.026
Available on ORBilu :
since 03 April 2014
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