Showing 6,061 - 6,080 results of 18,406 for search 'significantly ((((less decrease) OR (((nn decrease) OR (mean decrease))))) OR (a decrease))', query time: 0.70s Refine Results
  1. 6061

    Displacement of soil particles in z direction. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  2. 6062

    Simulation parameters [13]. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  3. 6063

    Displacement of soil particles in x direction. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  4. 6064

    Soil particle simulation model. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  5. 6065

    GHG emissions in TAHs. by Jure Brečko (20314959)

    Published 2024
    “…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …”
  6. 6066

    Multi-factor experimental results. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  7. 6067

    Frequency-displacement curve. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  8. 6068

    Bonding bonds between soil particles. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  9. 6069

    Test factor coding. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  10. 6070

    Displacement of soil particles in y direction. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  11. 6071

    Frame structure and key dimensions. by Xueting Ma (390540)

    Published 2025
    “…The number of soil disturbance particles decreases with an increase in forward speed, increases with a larger radius of the convex structure, and slightly decreases with an increase in the lugs angle. …”
  12. 6072

    Variation law of UCS. by Wenyu Lv (20139458)

    Published 2025
    “…Notably, the attenuation constant λ follows a monotonically decreasing pattern with increasing loading rate. …”
  13. 6073

    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. …”
  14. 6074

    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. …”
  15. 6075

    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. …”
  16. 6076

    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. …”
  17. 6077

    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. …”
  18. 6078

    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. …”
  19. 6079

    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. …”
  20. 6080

    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. …”