High performance ultra-thin CdTe solar cell with Lead Telluride BSF
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: 2014DOI: 10.1109/ICICES.2014.7033949
Keyword(s): Approximation methods,Intrusion detection,Mobile ad hoc networks,Set theory,Support vector machines,Training,Intrusion Detection,Machine Learning,Mobile ad hoc Networks,Rough Set Theory and Support Vector Machine,Security issues
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High performance ultra-thin CdTe solar cell with Lead Telluride BSF
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| contributor author | Matin, M.A. , Dey, M. | |
| date accessioned | 2020-03-12T20:05:44Z | |
| date available | 2020-03-12T20:05:44Z | |
| date issued | 2014 | |
| identifier other | 6850826.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1001616 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | High performance ultra-thin CdTe solar cell with Lead Telluride BSF | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8122543 | |
| subject keywords | Approximation methods | |
| subject keywords | Intrusion detection | |
| subject keywords | Mobile ad hoc networks | |
| subject keywords | Set theory | |
| subject keywords | Support vector machines | |
| subject keywords | Training | |
| subject keywords | Intrusion Detection | |
| subject keywords | Machine Learning | |
| subject keywords | Mobile ad hoc Networks | |
| subject keywords | Rough Set Theory and Support Vector Machine | |
| subject keywords | Security issues | |
| identifier doi | 10.1109/ICICES.2014.7033949 | |
| journal title | nformatics, Electronics & Vision (ICIEV), 2014 International Conference on | |
| filesize | 1046854 | |
| citations | 0 |