| 000 | 01354cam a2200265 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223030814.0 | ||
| 008 | 130328s2010 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aGift | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.34.M.Sc.2010.Mi.T | ||
| 100 | 0 | _aMina Raafat Zaher | |
| 245 | 1 | 0 |
_aType - 2 fuzzy logic systems for modeling and control in renewable wind energy generation / _cMina Raafat Zaher ; Supervised Hani Hagras |
| 260 |
_aCairo : _bMina Raafat Zaher , _c2010 |
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| 300 |
_a124Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - German University - Faculty of Postgraduate studies and scientific Research - Department of Computer Science and Engineering | ||
| 520 | _aThe diminishing reserves of fossil fuels , together with the associated environmental effects are encouraging more research in renewable clean energy . Wind energy is becoming one of the most important and promising areas of renewable energy . During the past few years , wind energy generation underwent strong improvements in several fields including power electronics , mechanics , wind dynamics , etc | ||
| 700 | 0 |
_aHani Hagras , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aFatma _eCataloger |
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| 905 |
_aNazla _eRevisor |
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| 942 |
_2ddc _cTH |
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| 999 |
_c42302 _d42302 |
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