يعرض 1 - 10 نتائج من 69 نتيجة بحث عن '"Akbari, Younes"', وقت الاستعلام: 0.83s تنقيح النتائج
  1. 1
    تقرير
    Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability

    المؤلفون: Abdullakutty, Faseela, Akbari, Younes, Al-Maadeed, Somaya, Bouridane, Ahmed, Hamoudi, Rifat

    مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2406.12897

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  2. 2
    دورية أكاديمية
    Automated systems for diagnosis of dysgraphia in children: a survey and novel framework

    المؤلفون: Kunhoth, JayakanthAff1, IDs1003202400464z_cor1, Al-Maadeed, Somaya, Kunhoth, Suchithra, Akbari, Younes, Saleh, Moutaz

    المصدر: International Journal on Document Analysis and Recognition (IJDAR). :1-29

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  3. 3
    مؤتمر
    PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone

    المؤلفون: Akbari, Younes, Almaadeed, Noor, Al-Maadeed, Somaya, Khelifi, Fouad, Bouridane, Ahmed

    المصدر: 2022 26th International Conference on Pattern Recognition (ICPR) Pattern Recognition (ICPR), 2022 26th International Conference on. :599-605 Aug, 2022

    Relation: 2022 26th International Conference on Pattern Recognition (ICPR)

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  4. 4
    مؤتمر
    PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification

    المؤلفون: Lawgaly, Ashref, Khelifi, Fouad, Bouridane, Ahmed, Al-Maaddeed, Somaya, Akbari, Younes

    المصدر: 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) Control, Decision and Information Technologies (CoDIT), 2022 8th International Conference on. 1:75-80 May, 2022

    Relation: 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)

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  5. 5
    تقرير
    Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

    المؤلفون: Elharrouss, Omar, Akbari, Younes, Almaadeed, Noor, Al-Maadeed, Somaya

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2206.08016

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  6. 6
    مؤتمر
    A vision-based zebra crossing detection method for people with visual impairments

    المؤلفون: Akbari, Younes, Hassen, Hanadi, Subramanian, Nandhini, Kunhoth, Jayakanth, Al-Maadeed, Somaya, Alhajyaseen, Wael

    المصدر: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) Informatics, IoT, and Enabling Technologies (ICIoT), 2020 IEEE International Conference on. :118-123 Feb, 2020

    Relation: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

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  7. 7
    مؤتمر
    Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel Images

    المؤلفون: Akbari, Younes, Britto, Alceu S., Al-maadeed, Somaya, Oliveira, Luiz S.

    المصدر: 2019 International Conference on Document Analysis and Recognition (ICDAR) ICDAR Document Analysis and Recognition (ICDAR), 2019 International Conference on. :973-978 Sep, 2019

    Relation: 2019 International Conference on Document Analysis and Recognition (ICDAR)

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  8. 8
    دورية أكاديمية
    Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision

    المؤلفون: Elharrouss, Omar, Akbari, Younes, Almadeed, Noor, Al-Maadeed, Somaya

    المصدر: In Computer Science Review August 2024 53

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  9. 9
    دورية أكاديمية
    Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis

    المؤلفون: Ottakath, Najmath, Akbari, Younes, Al-Maadeed, Somaya Ali, Bouridane, Ahmed, Zughaier, Susu M., Chowdhury, Muhammad E.H.

    المصدر: In Biomedical Signal Processing and Control August 2024 94

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  10. 10
    دورية أكاديمية
    Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone

    المؤلفون: Akbari, Younes, Al Maadeed, Somaya, Elharrouss, Omar, Ottakath, Najmath, Khelifi, Fouad

    المصدر: In Expert Systems With Applications 15 March 2024 238 Part A

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