| 000 | 01731nam a2200265 4500 | ||
|---|---|---|---|
| 003 | EG-NbEJU | ||
| 005 | 20241208092545.0 | ||
| 008 | 240709b2020 ua | m||| 00| 0 eng d | ||
| 040 |
_aEG-NbEJU _beng _cEG-NbEJU _dEG-NbEJU |
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| 041 |
_aeng _bara |
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| 100 | 1 | _aAbobeah , Reham Mohamed Fetouh Ramadan | |
| 245 | 1 | 0 |
_aNovel Approaches for Video Alignment Using Classical and Deep - Learning Techniques : _bA Thesis Submitted to the Graduate School of Electronics , Communications and Computer Engineering : Egypt Japan University of Science and Technology (E - JUSTE) : In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science and Engineering / _cby Reham Mohamed Fetouh Ramadan Abobeah |
| 246 | 1 | 5 |
_aمناهج جديدة لمحاذاة الفيديو باستخدام التقنيات الكلاسيكية و التعلم العميق / _bمقدمة من ريهام محمد فتوح رمضان أبوبيه للحصول على درجة دكتوراة الفلسفه في هندسة و علوم الحاسب |
| 260 |
_aAlexandria : _bReham Mohamed Fetouh Ramadan Abobeah _c2020 |
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| 300 |
_a88 leaves : _c30 cm |
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| 500 | _aIncludes a title page in Arabic | ||
| 502 |
_aThesis (Ph.D.) _bDoctoral _cEgypt - Japan University of Science and Technology (E-JUST) - School of Electronics , Communications and Computer Engineering - Computer Science and Engineering Department _d2020 |
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| 504 | _aIncludes bibliographical references | ||
| 520 | _a. | ||
| 530 | _aIssued also as a digital file (for more information please check our Digital Repository) | ||
| 590 |
_aECCE _bCSE |
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| 901 | _aHaGeR | ||
| 902 | _aTH_02_ (46) | ||
| 942 |
_2lcc _n0 _cDISS |
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| 999 |
_c5921 _d5921 |
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