يعرض 1 - 20 نتائج من 120 نتيجة بحث عن '"Mohamed M. Sabry"', وقت الاستعلام: 0.53s تنقيح النتائج
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    Periodical

    المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence; February 2025, Vol. 47 Issue: 2 p978-993, 16p

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    Conference

    المساهمون: DEAN'S OFFICE (ENGINEERING), ELECTRICAL AND COMPUTER ENGINEERING

    Relation: Umesh Chand, Mohamed M Sabry Aly, Manohar Lal, Chen Chun-Kuei, Sonu Hooda, Shih-Hao Tsai, Zihang Fang, Hasita Veluri, Aaron Voon-Yew Thean (2022-06-12). Sub-10nm Ultra-thin ZnO Channel FET with Record-High 561 µA/µm ION at VDS 1V, High µ-84 cm2/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) : 326-327. ScholarBank@NUS Repository. https://doi.org/10.1109/VLSITechnologyandCir46769.2022.9830250; https://scholarbank.nus.edu.sg/handle/10635/232258

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    Book

    المصدر: Lecture Notes in Computer Science ; Computer Vision – ECCV 2022 ; page 157-172 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031197741 9783031197758

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    Book

    المصدر: Emerging Computing: From Devices to Systems ; Computer Architecture and Design Methodologies ; page 3-11 ; ISSN 2367-3478 2367-3486 ; ISBN 9789811674860 9789811674877

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    Electronic Resource
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    Academic Journal

    المصدر: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 35 No. 9: AAAI-21 Technical Tracks 9; 7780-7788 ; 2374-3468 ; 2159-5399

    مصطلحات موضوعية: Learning on the Edge & Model Compression

    وصف الملف: application/pdf

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