Foundation design and construction challenges at river crossing for 345 kV transmission line
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: 2014شناسه الکترونیک: 10.1109/ICOSP.2014.7015225
کلیدواژه(گان): collaborative filtering,data analysis,pattern recognition,collaborative filtering algorithm,e-commercial systems,item recommend algorithm,pattern recognition,sparse user behavior data set,statistic model,Algorithm design and analysis,Collaboration,Filtering,Filtering algorithms,Prediction algorithms,Training,Vectors,Recommend Algorithm,pattern recognition,sparse data set,supervised learning
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Foundation design and construction challenges at river crossing for 345 kV transmission line
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| contributor author | Karels, Lucas D. | |
| date accessioned | 2020-03-12T20:19:03Z | |
| date available | 2020-03-12T20:19:03Z | |
| date issued | 2014 | |
| identifier other | 6863216.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1010052 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Foundation design and construction challenges at river crossing for 345 kV transmission line | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8132324 | |
| subject keywords | collaborative filtering | |
| subject keywords | data analysis | |
| subject keywords | pattern recognition | |
| subject keywords | collaborative filtering algorithm | |
| subject keywords | e-commercial systems | |
| subject keywords | item recommend algorithm | |
| subject keywords | pattern recognition | |
| subject keywords | sparse user behavior data set | |
| subject keywords | statistic model | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Collaboration | |
| subject keywords | Filtering | |
| subject keywords | Filtering algorithms | |
| subject keywords | Prediction algorithms | |
| subject keywords | Training | |
| subject keywords | Vectors | |
| subject keywords | Recommend Algorithm | |
| subject keywords | pattern recognition | |
| subject keywords | sparse data set | |
| subject keywords | supervised learning | |
| identifier doi | 10.1109/ICOSP.2014.7015225 | |
| journal title | &D Conference and Exposition, 2014 IEEE PES | |
| filesize | 458428 | |
| citations | 0 |