An FPGA - Based Deep Learning Implementation For Aerial Scene Classification : A Theise Submitted To The School Of Electronics , Communications And Computer Engineering , 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 / Obed Mokweri Mogaka ; Supervision Committee Prof . Mohammed Sharaf Sayed , Dr . Rami Zewail , Prof . Koji Inoue ; Examination Committee Prof . Mohamed Watheq Ali Kamel El-Kharashi , Prof . Amr Galaleldin Ahmed Wassal , Prof . Mohammed Sharaf Sayed
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TextLanguage: English Summary language: Arabic Publication details: Alexandria : Obed Mokweri Mogaka , 2024Description: 82 Leaves ; 30 cmOther title: - تطبيق التعلم العميق على مصفوفة البوابات المنطقية القابلة للبرمجة لتصنيف المشهد الجوي : رسالة علمية مقدمة إلى المدرسة التخصصية للدراسات العليا ، مدرسة هندسة الالكترونيات و الاتصالات و الحاسبات ، قسم هندسة الالكترونيات و الاتصالات و الحاسبات ، الجامعة المصرية اليابانية للعلوم و التكنولوجيا كإستيفاء جزئي لمتطلبات الحصول على درجة الماجستير في هندسة الالكترونيات و الاتصالات
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Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | ECE MSc. 2024 05 (Browse shelf(Opens below)) | C. 1 | Not for loan | 10014139 |
Thesis (M.A.) Master Egypt-Japan University of Science and Technology (E-JUST) - Faculty of Electronics , Communications And Computer Engineering - School of Electronics And Communications Engineering Department. 2024
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(ECCE) School of Electronics, Communications and Computer Engineering (ECE) Electronics and Communications Engineering
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