Pressure mapping from flow imaging: Enhancing computation of the viscous term through velocity reconstruction in near-wall regions
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: 2014DOI: 10.1109/BIGCOMP.2014.6741412
Keyword(s): collaborative filtering,n data mining,n recommender systems,n semantic Web,n IPTV service providers,n South Korea,n collaborative filtering-based recommender systems,n content category,n content-consumption,n interest-pattern,n linked data,n real-world mobile IPTV service data,n recommending content approach,n semantic clusters,n semantic information,n semantically-based recommendation,n sparse data sets,n user interest mining,n user viewing
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Pressure mapping from flow imaging: Enhancing computation of the viscous term through velocity reconstruction in near-wall regions
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| contributor author | Donati, F. | |
| contributor author | Nordsletten, D.A. | |
| contributor author | Smith, N.P. | |
| contributor author | Lamata, P. | |
| date accessioned | 2020-03-12T21:28:46Z | |
| date available | 2020-03-12T21:28:46Z | |
| date issued | 2014 | |
| identifier other | 6944771.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1050842 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Pressure mapping from flow imaging: Enhancing computation of the viscous term through velocity reconstruction in near-wall regions | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8180777 | |
| subject keywords | collaborative filtering | |
| subject keywords | n data mining | |
| subject keywords | n recommender systems | |
| subject keywords | n semantic Web | |
| subject keywords | n IPTV service providers | |
| subject keywords | n South Korea | |
| subject keywords | n collaborative filtering-based recommender systems | |
| subject keywords | n content category | |
| subject keywords | n content-consumption | |
| subject keywords | n interest-pattern | |
| subject keywords | n linked data | |
| subject keywords | n real-world mobile IPTV service data | |
| subject keywords | n recommending content approach | |
| subject keywords | n semantic clusters | |
| subject keywords | n semantic information | |
| subject keywords | n semantically-based recommendation | |
| subject keywords | n sparse data sets | |
| subject keywords | n user interest mining | |
| subject keywords | n user viewing | |
| identifier doi | 10.1109/BIGCOMP.2014.6741412 | |
| journal title | ngineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the | |
| filesize | 1180326 | |
| citations | 0 |