يعرض 1 - 10 نتائج من 28 نتيجة بحث عن '"Amna, Maraoui"', وقت الاستعلام: 0.88s تنقيح النتائج
  1. 1
    مؤتمر
    Real-time pedestrian detection independent of illumination dedicated for automotive applications

    المؤلفون: Nacir, Omran, Imen, Werda, Amna, Maraoui

    المصدر: 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) Electrical Sciences and Technologies in Maghreb (CISTEM), 2022 IEEE International Conference on. 4:1-6 Oct, 2022

    Relation: 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

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  2. 2
    مؤتمر
    Yolo V5 for Traffic Sign Recognition and Detection Using Transfer Learning

    المؤلفون: Nacir, Omran, Amna, Maraoui, Imen, Werda, Hamdi, Belgacem

    المصدر: 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) Electrical Sciences and Technologies in Maghreb (CISTEM), 2022 IEEE International Conference on. 4:1-4 Oct, 2022

    Relation: 2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

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  3. 3
    مؤتمر
    SVM-Based method to reduce HEVC CU partition complexity

    المؤلفون: Amna, Maraoui, Imen, Werda, Nacir, Omran, Ezahra, Sayadi Fatma

    المصدر: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Systems, Signals & Devices (SSD), 2022 19th International Multi-Conference on. :480-484 May, 2022

    Relation: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)

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  4. 4
    مؤتمر
    Real time H264 HD intra coding process implementation on TMS320DM642 DSP

    المؤلفون: Imen, Werda, Amna, Maraoui, Kessentini, Amina, Masmoudi, Nouri

    المصدر: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Systems, Signals & Devices (SSD), 2022 19th International Multi-Conference on. :258-263 May, 2022

    Relation: 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)

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  5. 5
    مؤتمر
    Deep Learning For Intra Frame Coding

    المؤلفون: Amna, Maraoui, Imen, Werda, Ezahra, Sayadi Fatma

    المصدر: 2021 International Conference on Engineering and Emerging Technologies (ICEET) Engineering and Emerging Technologies (ICEET), 2021 International Conference on. :1-4 Oct, 2021

    Relation: 2021 International Conference on Engineering and Emerging Technologies (ICEET)

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  6. 6
    مؤتمر
    DCT -II Transform Hardware-Based Acceleration for VVC Standard

    المؤلفون: Imen, Werda, Fatma, Belghith, Amna, Maraoui, Masmoudi, Nouri

    المصدر: 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Design & Test of Integrated Micro & Nano-Systems (DTS), 2021 IEEE International Conference on. :1-5 Jun, 2021

    Relation: 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)

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  7. 7
    دورية أكاديمية
    Fast multi-type tree partitioning for versatile video coding using machine learning

    المؤلفون: Amna, MaraouiAff1, IDs11760022022044_cor1, Imen, Werda, Fatma Ezahra, Sayadi

    المصدر: Signal, Image and Video Processing. 17(1):67-74

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  8. 8
    دورية أكاديمية
    Fast HEVC intra-CU decision partition algorithm with modified LeNet-5 and AlexNet

    المؤلفون: Imen, Werda, Amna, Maraoui, Fatma, Belghith, Ezahra, Sayadi Fatma, Masmoudi, Nouri

    المصدر: Signal, Image and Video Processing. 16(7):1811-1819

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  9. 9
    دورية أكاديمية
    Machine Learning-Based approaches to reduce HEVC intra coding unit partition decision complexity

    المؤلفون: Amna, MaraouiAff1, IDs11042021116782_cor1, Imen, Werda, Soulef, Bouaafia, Fatma Ezahra, Sayadi

    المصدر: Multimedia Tools and Applications: An International Journal. 81(2):2777-2802

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  10. 10
    دورية أكاديمية
    COVID-19 Recognition Based on Patients Coughing and Breathing Patterns Analysis: Deep Learning Approach

    المؤلفون: Lazhar Khriji, Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Ahmed Ammari

    المصدر: Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 29, Iss 1, Pp 185-191 (2021)

    مصطلحات موضوعية: deep learning, covid-19 recognition, coughing and breathing patterns analysis, Telecommunication, TK5101-6720

    وصف الملف: electronic resource

    Relation: https://www.fruct.org/publications/fruct29/files/Khr.pdf; https://doaj.org/toc/2305-7254; https://doaj.org/toc/2343-0737

    URL الوصول: https://doaj.org/article/f85b0433c0e04f5f8df0b99eafdaf761

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