Wide Area Power System Fault Detection Using Compressed Sensing to Reduce the WAN Data Traffic
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: 2014شناسه الکترونیک: 10.1109/ISTEL.2014.7000767
کلیدواژه(گان): Engines,Google,Navigation,Search engines,Web pages,Web search,evaluation,navigational queries,web search engines
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Wide Area Power System Fault Detection Using Compressed Sensing to Reduce the WAN Data Traffic
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contributor author | Li, Bei , He, Jinghan , Yip, Tony , Li, Jiangchen | |
date accessioned | 2020-03-12T20:57:59Z | |
date available | 2020-03-12T20:57:59Z | |
date issued | 2014 | |
identifier other | 6916434.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1032196 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Wide Area Power System Fault Detection Using Compressed Sensing to Reduce the WAN Data Traffic | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8157806 | |
subject keywords | Engines | |
subject keywords | ||
subject keywords | Navigation | |
subject keywords | Search engines | |
subject keywords | Web pages | |
subject keywords | Web search | |
subject keywords | evaluation | |
subject keywords | navigational queries | |
subject keywords | web search engines | |
identifier doi | 10.1109/ISTEL.2014.7000767 | |
journal title | arallel Architectures, Algorithms and Programming (PAAP), 2014 Sixth International Symposium on | |
filesize | 217308 | |
citations | 0 |