Poster (Scientific congresses, symposiums and conference proceedings)
Machine learning techniques for atmospheric pollutant monitoring
Sainlez, Matthieu; Heyen, Georges
2012PhD day ENVITAM-GEPROC
 

Files


Full Text
Poster_PHDday.pdf
Author postprint (4.05 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Sainlez, Matthieu ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Heyen, Georges
Language :
English
Title :
Machine learning techniques for atmospheric pollutant monitoring
Publication date :
27 January 2012
Number of pages :
A0
Event name :
PhD day ENVITAM-GEPROC
Event organizer :
ENVITAM Graduate School and GEPROC Graduate School
Event place :
Gembloux, Belgium
Event date :
27 janvier 2012
By request :
Yes
Available on ORBilu :
since 03 April 2014

Statistics


Number of views
33 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Bibliography


Similar publications



Contact ORBilu