يعرض 1 - 20 نتائج من 669 نتيجة بحث عن 'far is (((((resulted. OR removeddsddds.) OR resulted.) OR resolved.) OR involved.) OR involves.)', وقت الاستعلام: 0.18s تنقيح النتائج
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    MultiFAR and SOTA results for multiclass classification. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>MultiFAR and SOTA results for multiclass classification.…"
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    Evaluation results of MultiFAR for component ablation analysis. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>Evaluation results of MultiFAR for component ablation analysis.…"
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    Comparative results of MultiFAR, SOTA, transformer-based models, and baseline approaches. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>Comparative results of MultiFAR, SOTA, transformer-based models, and baseline approaches.…"
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    Comparative results of MultiFAR with SOTA and baseline approaches over balanced dataset. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>Comparative results of MultiFAR with SOTA and baseline approaches over balanced dataset.…"
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    A graphical representation of comparative results of MultiFAR with SOTA and baseline approaches. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>A graphical representation of comparative results of MultiFAR with SOTA and baseline approaches.…"
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    MultiFAR results for early student performance prediction over datasets from different quarters. حسب Mohd Fazil (17038802)

    منشور في 2025
    "…<p>MultiFAR results for early student performance prediction over datasets from different quarters.…"
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    Summary of the meta-analysis results. حسب Mehrdad Mozafar (20957397)

    منشور في 2025
    "…<div><p>Purpose</p><p>Behcet disease (BD) is an autoimmune disease characterized by diffuse all-sized obliterative vasculitis, thrombotic vasculopathy, and common ocular involvement. This study aims to evaluate the retinal microvascular alterations in BD using optical coherence tomography angiography (OCTA).…"
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    Wavelet transform preprocessing results. حسب Chao Tang (10925)

    منشور في 2025
    "…After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …"
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