Showing 6,041 - 6,060 results of 18,392 for search 'significantly ((((((we decrease) OR (a decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.75s Refine Results
  1. 6041

    Variation law of UCS. by Wenyu Lv (20139458)

    Published 2025
    “…Notably, the attenuation constant λ follows a monotonically decreasing pattern with increasing loading rate. …”
  2. 6042

    Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  3. 6043

    Enhanced multi-component module. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  4. 6044

    The architecture of the TCBiL. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  5. 6045

    Detail of the encoder. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  6. 6046

    Detail of the Fourier transform. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  7. 6047

    Detail of the decoder. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  8. 6048

    Encoder-decoder architecture. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  9. 6049

    Dataset description. by Yuanming Ding (12842858)

    Published 2025
    “…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”
  10. 6050

    Study design. by Moazzam Tanveer (20775814)

    Published 2025
    “…<div><p>Background</p><p>Childhood obesity poses a significant public health challenge, yet effective school-based physical activity (PA) interventions remain scarce, especially in Pakistan. …”
  11. 6051

    Prevaelnce of different pathogens by location. by Amete Mihret Teshale (12072758)

    Published 2025
    “…<div><p>Diarrheal illness remains a major global health challenge, causing millions of deaths annually. …”
  12. 6052

    Frontier Analysis Based on ASDR and SDI. by Guanghui Yu (423945)

    Published 2025
    “…<div><p>Background and Objectives</p><p>Hypertension is a major risk factor for aortic aneurysm (AA), but the global, regional, and national patterns of its related disease burden are not well studied. …”
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  15. 6055

    Damage characteristics of PU/WG layer. by Hao Yu (157186)

    Published 2025
    “…<div><p>Rock joints are widespread in nature and have become a major obstacle to the safe development of underground space. …”
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