Rezultaty 1 - 20 Rezultaty od 669 Dla wyszukiwania 'far is (((((resulted. OR removedddddds.) OR resulted.) OR resolve.) OR involved.) OR involves.)', Czas wyszukiwania: 0,22s Redukuj rezultaty
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    MultiFAR and SOTA results for multiclass classification. od Mohd Fazil (17038802)

    Wydane 2025
    “…<p>MultiFAR and SOTA results for multiclass classification.…”
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    Evaluation results of MultiFAR for component ablation analysis. od Mohd Fazil (17038802)

    Wydane 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. od Mohd Fazil (17038802)

    Wydane 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. od Mohd Fazil (17038802)

    Wydane 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. od Mohd Fazil (17038802)

    Wydane 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. od Mohd Fazil (17038802)

    Wydane 2025
    “…<p>MultiFAR results for early student performance prediction over datasets from different quarters.…”
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    Summary of the meta-analysis results. od Mehrdad Mozafar (20957397)

    Wydane 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. od Chao Tang (10925)

    Wydane 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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