Clustering-based anomaly detection for smartphone applications
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Year
: 2014DOI: 10.1109/OCEANS.2014.7003114
Keyword(s): Chemical lasers,Electric breakdown,Lead,Solids,Spectroscopy,Zinc,LIBS,chemical analysis,in-situ measurement,laser ablation,quantitative analysis
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Clustering-based anomaly detection for smartphone applications
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| contributor author | El Attar, A. , Khatoun, R. , Lemercier, M. | |
| date accessioned | 2020-03-12T19:53:46Z | |
| date available | 2020-03-12T19:53:46Z | |
| date issued | 2014 | |
| identifier other | 6838385.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/994217 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Clustering-based anomaly detection for smartphone applications | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8113589 | |
| subject keywords | Chemical lasers | |
| subject keywords | Electric breakdown | |
| subject keywords | Lead | |
| subject keywords | Solids | |
| subject keywords | Spectroscopy | |
| subject keywords | Zinc | |
| subject keywords | LIBS | |
| subject keywords | chemical analysis | |
| subject keywords | in-situ measurement | |
| subject keywords | laser ablation | |
| subject keywords | quantitative analysis | |
| identifier doi | 10.1109/OCEANS.2014.7003114 | |
| journal title | etwork Operations and Management Symposium (NOMS), 2014 IEEE | |
| filesize | 143782 | |
| citations | 0 |