Evaluating the performance of the Ft. Huachuca compact range
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: 2014DOI: 10.1109/SCEECS.2014.6804502
Keyword(s): computational complexity,n graph theory,n network theory (graphs),n pattern clustering,n small-world networks,n biological network,n clustering characteristics,n community structure detection,n complex network,n computational complexity,n connection heterogeneity,n network function,n network node traffic,n network substructure,n network topology,n node groups,n small-world property,n social network,n Clustering algorithms,n Communities
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Evaluating the performance of the Ft. Huachuca compact range
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| contributor author | Francis, Michael H. | |
| contributor author | Wittmann, Ronald C. | |
| date accessioned | 2020-03-12T21:43:13Z | |
| date available | 2020-03-12T21:43:13Z | |
| date issued | 2014 | |
| identifier other | 6955408.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1058054 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Evaluating the performance of the Ft. Huachuca compact range | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8189375 | |
| subject keywords | computational complexity | |
| subject keywords | n graph theory | |
| subject keywords | n network theory (graphs) | |
| subject keywords | n pattern clustering | |
| subject keywords | n small-world networks | |
| subject keywords | n biological network | |
| subject keywords | n clustering characteristics | |
| subject keywords | n community structure detection | |
| subject keywords | n complex network | |
| subject keywords | n computational complexity | |
| subject keywords | n connection heterogeneity | |
| subject keywords | n network function | |
| subject keywords | n network node traffic | |
| subject keywords | n network substructure | |
| subject keywords | n network topology | |
| subject keywords | n node groups | |
| subject keywords | n small-world property | |
| subject keywords | n social network | |
| subject keywords | n Clustering algorithms | |
| subject keywords | n Communities | |
| identifier doi | 10.1109/SCEECS.2014.6804502 | |
| journal title | adio Science Meeting (Joint with AP-S Symposium), 2014 USNC-URSI | |
| filesize | 74685 | |
| citations | 0 |