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A Fast Deep Learning Based Fractions Pixel Motion Estimation for HEVO : A Thesis Submitted to the Graduate School of Electronics Communications and Computing Egypt-Japan University of Science and Technology (E-JUST) in Partial Fulfillment of the Requirements for the Degree of Master of Science in Electronics and Communications Engineering / by Ehab Mohamed Ahmed Ibrahim

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Contributor(s): Material type: TextTextLanguage: English Summary language: Arabic Publication details: Alexandria : Ehab Mohamed Ahmed Ibrahim 2019Description: 57 Pages; cmOther title:
  • تقدير سريع للحركة بأجزاء البكسل مبني على التعلم العميق لترميز الفيديو عالي الكفاءة / مقدمة من ايهاب محمد أحمد ابراهيم للحصول على درجة ماجستير العلوم في هندسة الالكترونيات والاتصالات [Added title page title]
Issued also as a digital file (for more information please check our Digital Repository)Dissertation note: Thesis (M.Sc.) Master Egypt-Japan University of Science and Technology (E-JUST) - School of Electronics Communications and Computing - Electronics and Communications Engineering Department. 2019 Summary: اكتب المستخلص العربي والانجليزي كل واحد لوحده في حقل منفصل
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Item type Current library Call number Copy number Status Barcode
Dissertations Dissertations Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي ECE MSc. 2019 03 (Browse shelf(Opens below)) C. 1 Not for loan 10013410

Thesis (M.Sc.) Master Egypt-Japan University of Science and Technology (E-JUST) - School of Electronics Communications and Computing - Electronics and Communications Engineering Department. 2019

اكتب المستخلص العربي والانجليزي كل واحد لوحده في حقل منفصل

Issued also as a digital file (for more information please check our Digital Repository)

(ECCE) School of Electronics, Communications and Computer Engineering (ECE) Electronics and Communications Engineering

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