Showing 6,081 - 6,100 results of 18,470 for search 'significantly ((((((lower decrease) OR (a decrease))) OR (teer decrease))) OR (linear decrease))', query time: 0.76s Refine Results
  1. 6081

    S1 File - 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. …”
  2. 6082

    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. …”
  3. 6083

    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. …”
  4. 6084

    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. …”
  5. 6085

    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. …”
  6. 6086

    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. …”
  7. 6087

    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. …”
  8. 6088

    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. …”
  9. 6089

    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. …”
  10. 6090

    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. …”
  11. 6091

    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. …”
  12. 6092

    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. …”
  13. 6093

    Variation law of UCS. by Wenyu Lv (20139458)

    Published 2025
    “…Notably, the attenuation constant λ follows a monotonically decreasing pattern with increasing loading rate. …”
  14. 6094

    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. …”
  15. 6095

    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. …”
  16. 6096

    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. …”
  17. 6097

    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. …”
  18. 6098

    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. …”
  19. 6099

    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. …”
  20. 6100

    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. …”