検索結果 1 - 20 結果 / 669 検索語 'far is (((((resulted. OR removedddddds.) OR resulted.) OR resolved.) OR involved.) OR involves.)', 処理時間: 0.16秒 結果の絞り込み
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    MultiFAR and SOTA results for multiclass classification. 著者: Mohd Fazil (17038802)

    出版事項 2025
    “…<p>MultiFAR and SOTA results for multiclass classification.…”
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    Evaluation results of MultiFAR for component ablation analysis. 著者: Mohd Fazil (17038802)

    出版事項 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. 著者: Mohd Fazil (17038802)

    出版事項 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. 著者: Mohd Fazil (17038802)

    出版事項 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. 著者: Mohd Fazil (17038802)

    出版事項 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. 著者: Mohd Fazil (17038802)

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

    出版事項 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. 著者: Chao Tang (10925)

    出版事項 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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