Clustering-based anomaly detection for smartphone applications
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سال
: 2014شناسه الکترونیک: 10.1109/OCEANS.2014.7003114
کلیدواژه(گان): Chemical lasers,Electric breakdown,Lead,Solids,Spectroscopy,Zinc,LIBS,chemical analysis,in-situ measurement,laser ablation,quantitative analysis
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آمار بازدید
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 |