Showing 1,401 - 1,420 results of 3,803 for search 'significant ((((((step decrease) OR (teer decrease))) OR (greatest decrease))) OR (mean decrease))', query time: 0.55s Refine Results
  1. 1401

    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  2. 1402

    Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  3. 1403
  4. 1404
  5. 1405
  6. 1406
  7. 1407
  8. 1408
  9. 1409
  10. 1410
  11. 1411

    R scripts. by Ehsan Ghafouri (21688451)

    Published 2025
    “…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”
  12. 1412

    Bioclimatic variables used in the study. by Ehsan Ghafouri (21688451)

    Published 2025
    “…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”
  13. 1413

    Response Curves of environmental variables. by Ehsan Ghafouri (21688451)

    Published 2025
    “…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”
  14. 1414

    Relative Variable Importance. by Ehsan Ghafouri (21688451)

    Published 2025
    “…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”
  15. 1415

    Ablation results. by Gang Xu (219455)

    Published 2025
    “…Evaluation on the ScanNetV2 multi-view 3D object detection dataset demonstrates that ImVoxelGNet achieves a performance improvement of up to 2.2% in mean average precision (mAP). This improvement effectively demonstrates the efficacy of our method in significantly enhancing 3D object detection performance through improved geometric perception and comprehensive scene understanding. …”
  16. 1416

    Microplastics Influence Dissolved Organic Matter Transformation Mediated by Microbiomes in Soil Aggregates by Xinran Qiu (9182255)

    Published 2025
    “…MPs were found to increase DOM transformation in soil aggregates, leading to changes in soil aggregate stability, including a reduction in geometric mean diameter and mass-weighted diameter. The addition of MPs resulted in a decrease in the stability of DOM in large-sized aggregates but an increase in the aromaticity and unsaturation of DOM in small-sized aggregates, which were more pronounced in the PLAMPs-treated group. …”
  17. 1417
  18. 1418

    Complexity comparison results. by Gang Xu (219455)

    Published 2025
    “…Evaluation on the ScanNetV2 multi-view 3D object detection dataset demonstrates that ImVoxelGNet achieves a performance improvement of up to 2.2% in mean average precision (mAP). This improvement effectively demonstrates the efficacy of our method in significantly enhancing 3D object detection performance through improved geometric perception and comprehensive scene understanding. …”
  19. 1419

    Ablation results on Nerf-Det [28]. by Gang Xu (219455)

    Published 2025
    “…Evaluation on the ScanNetV2 multi-view 3D object detection dataset demonstrates that ImVoxelGNet achieves a performance improvement of up to 2.2% in mean average precision (mAP). This improvement effectively demonstrates the efficacy of our method in significantly enhancing 3D object detection performance through improved geometric perception and comprehensive scene understanding. …”
  20. 1420

    Ablation results on noise. by Gang Xu (219455)

    Published 2025
    “…Evaluation on the ScanNetV2 multi-view 3D object detection dataset demonstrates that ImVoxelGNet achieves a performance improvement of up to 2.2% in mean average precision (mAP). This improvement effectively demonstrates the efficacy of our method in significantly enhancing 3D object detection performance through improved geometric perception and comprehensive scene understanding. …”