Showing 641 - 660 results of 1,093 for search '(( significant decrease decrease ) OR ( significant ((small decrease) OR (a decrease)) ))~', query time: 0.37s Refine Results
  1. 641

    Repeat the detection experiment. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  2. 642

    Detection network structure with IRAU [34]. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  3. 643

    Ablation experiments of various block. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  4. 644

    Kappa coefficients for different algorithms. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  5. 645

    The structure of ASPP+ block. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  6. 646

    The structure of attention gate block [31]. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  7. 647

    DSC block and its application network structure. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  8. 648

    The structure of multi-scale residual block [30]. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  9. 649

    The structure of IRAU and Res2Net+ block [22]. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. …”
  10. 650
  11. 651

    A typical cross signalized intersection. by Bin Zhao (276445)

    Published 2025
    “…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”
  12. 652

    Table 1_Managing lorlatinib-induced weight gain through a structured exercise intervention in an ALK+ NSCLC patient: a case report.docx by Christian Ciurnelli (20548178)

    Published 2025
    “…Background<p>In non-small cell lung cancer (NSCLC), ALK tyrosine kinase inhibitors (TKIs) have been associated with significant weight gain, predominantly in fat tissues. …”
  13. 653

    Data Sheet 1_Metabolic adaptation fluctuates with different prediction equations: a secondary analysis based on a weight-loss clinical trial.docx by Molian Tang (18876955)

    Published 2025
    “…A small but statistically significant increase in Katch-McArdle-determined aRMR (β: 0.19 kcal/kg; 95%CI: 0.14 kcal/kg, 0.23 kcal/kg; adjusted p-value <0.0001) was confirmed by linear mixed models. …”
  14. 654

    Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

    Published 2025
    “…Mechanical agitation effectively breaks up bulk liquid metal into small particles that can be used for various applications. …”
  15. 655

    Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

    Published 2025
    “…Mechanical agitation effectively breaks up bulk liquid metal into small particles that can be used for various applications. …”
  16. 656

    Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

    Published 2025
    “…Mechanical agitation effectively breaks up bulk liquid metal into small particles that can be used for various applications. …”
  17. 657
  18. 658

    Supplementary file 1_Effects of a personalized PERMA-based intervention on the mental health of junior high school students: a randomized clinical trial.docx by Lei Zhang (38117)

    Published 2025
    “…No significant changes were observed in coping styles, though slight improvements in positive coping tendency (from −0.02 to −0.13) and a slight decrease in negative coping tendency (from −0.02 to −0.01).…”
  19. 659
  20. 660

    Dynamic network effects of left DLPFC-tDCS protocol (F3a-Fp2c) with a sliding window length of 30 TRs. by Yanqing Dong (8829548)

    Published 2025
    “…Warmer colors indicate an increase in FC, while cooler colors indicate a decrease in FC. Color bars indicate statistical t-values (<i>p</i> < 0.05).…”