| 000 | 01691nam a2200265 4500 | ||
|---|---|---|---|
| 003 | EG-NbEJU | ||
| 005 | 20241208093017.0 | ||
| 008 | 240709b2019 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 | _aEl-Ghaish , Hany Aly Abe Zeed | |
| 245 | 1 | 0 |
_aMulti Modal Human Action Recognition Using Deep Learning : _b A 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 Hany Aly Abe Zeed El-Ghaish |
| 246 | 1 | 5 |
_aالتعرف على الأنشطة الحركية للإنسان بالإستعانة بوسائط متعددة و باستخدام التعلم العميق / _bمقدمة من هاني على أبو زيد الغايش للحصول على درجة دكتوراه الفلسفة في هندسة و علوم الحاسب |
| 260 |
_aAlexandria : _bHany Aly Abe Zeed El-Ghaish _c2019 |
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| 300 |
_a123 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 _d2019 |
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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_ (52) | ||
| 942 |
_2lcc _n0 _cDISS |
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| 999 |
_c5926 _d5926 |
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