يعرض 1 - 10 نتائج من 59 نتيجة بحث عن '"Sohail, Anabia"', وقت الاستعلام: 0.93s تنقيح النتائج
  1. 1
    تقرير
    A Survey of the Self Supervised Learning Mechanisms for Vision Transformers

    المؤلفون: Khan, Asifullah, Sohail, Anabia, Fiaz, Mustansar, Hassan, Mehdi, Afridi, Tariq Habib, Marwat, Sibghat Ullah, Munir, Farzeen, Ali, Safdar, Naseem, Hannan, Zaheer, Muhammad Zaigham, Ali, Kamran, Sultana, Tangina, Tanoli, Ziaurrehman, Akhter, Naeem

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

    URL الوصول: http://arxiv.org/abs/2408.17059

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  2. 2
    تقرير
    CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images

    المؤلفون: Ali, Momina Liaqat, Rauf, Zunaira, Khan, Asifullah, Sohail, Anabia, Ullah, Rafi, Gwak, Jeonghwan

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2305.09211

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  3. 3
    تقرير
    A survey of the Vision Transformers and their CNN-Transformer based Variants

    المؤلفون: Khan, Asifullah, Rauf, Zunaira, Sohail, Anabia, Rehman, Abdul, Asif, Hifsa, Asif, Aqsa, Farooq, Umair

    المصدر: Artificial Intelligence Review (2023): 1-54

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2305.09880

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  4. 4
    تقرير
    Deep Neural Networks based Meta-Learning for Network Intrusion Detection

    المؤلفون: Sohail, Anabia, Ayisha, Bibi, Hameed, Irfan, Zafar, Muhammad Mohsin, Alquhayz, Hani, Khan, Asifullah

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

    URL الوصول: http://arxiv.org/abs/2302.09394

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  5. 5
    مؤتمر
    Lymphocyte Annotator: CD3+ and CD8+ IHC Stained Patch Image Annotation Tool

    المؤلفون: Zafar, Muhammad Mohsin, Rauf, Zunaira, Sohail, Anabia, Khan, Asifullah

    المصدر: 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS) Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS), 2020 International Symposium on. 5:1-6 Oct, 2020

    Relation: 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS)

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  6. 6
    مؤتمر
    Channel Boosted Convolutional Neural Network for Classification of Mitotic Nuclei using Histopathological Images

    المؤلفون: Aziz, Abdullah, Sohail, Anabia, Fahad, Labiba, Burhan, Muhammad, Wahab, Noorul, Khan, Asifullah

    المصدر: 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST) Applied Sciences and Technology (IBCAST), 2020 17th International Bhurban Conference on. :277-284 Jan, 2020

    Relation: 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST)

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  7. 7
    تقرير
    A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron

    المؤلفون: Khan, Asifullah, Khan, Saddam Hussain, Saif, Mahrukh, Batool, Asiya, Sohail, Anabia, Khan, Muhammad Waleed

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2202.06372

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  8. 8
    دورية أكاديمية
    Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN

    المؤلفون: Rauf, ZunairaAff1, Aff2, Khan, Abdul Rehman, Sohail, AnabiaAff1, Aff3, Alquhayz, Hani, Gwak, JeonghwanAff5, IDs4159802340581z_cor5, Khan, AsifullahAff1, Aff2, Aff6, IDs4159802340581z_cor6

    المصدر: Scientific Reports. 13(1)

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  9. 9
    تقرير
    COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

    المؤلفون: Khan, Saddam Hussain, Sohail, Anabia, Khan, Asifullah

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2012.05073

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  10. 10
    تقرير
    Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks

    المؤلفون: Khan, Saddam Hussain, Sohail, Anabia, Khan, Asifullah, Lee, Yeon Soo

    مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2009.08864

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