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Reference : Machine learning techniques for atmospheric pollutant monitoring |
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| | Scientific congresses, symposiums and conference proceedings : Poster | |
| | Engineering, computing & technology : Multidisciplinary, general & others
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| | http://hdl.handle.net/10993/16306 | |
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| Machine learning techniques for atmospheric pollutant monitoring |
| English |
| Sainlez, Matthieu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >] |
| Heyen, Georges [] |
| 27-Jan-2012 |
| A0 |
| No |
| Yes |
| National |
| PhD day ENVITAM-GEPROC |
| 27 janvier 2012 |
| ENVITAM Graduate School and GEPROC Graduate School |
| Gembloux |
| Belgium |
| Researchers |
| http://hdl.handle.net/10993/16306 |
| File(s) associated to this reference | |
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Fulltext file(s):
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