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Showing 5,381 - 5,400 results of 12,723 for search '(( significant decrease decrease ) OR ( significant increase decrease ))~', query time: 0.35s Refine Results
  1. 5381

    Target sequences of siRNAs. by Kaitao Zhao (3617825)

    Published 2025
    “…<div><p>Chronic hepatitis B virus (HBV) infection can significantly increase the incidence of cirrhosis and liver cancer, and there is no curative treatment. …”
  2. 5382

    Plasmids information. by Kaitao Zhao (3617825)

    Published 2025
    “…<div><p>Chronic hepatitis B virus (HBV) infection can significantly increase the incidence of cirrhosis and liver cancer, and there is no curative treatment. …”
  3. 5383

    Raw data. by Kaitao Zhao (3617825)

    Published 2025
    “…<div><p>Chronic hepatitis B virus (HBV) infection can significantly increase the incidence of cirrhosis and liver cancer, and there is no curative treatment. …”
  4. 5384

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  5. 5385

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  6. 5386

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  7. 5387

    PR comparison on RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  8. 5388

    Ablation study on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  9. 5389

    Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  10. 5390

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  11. 5391

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  12. 5392

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  13. 5393

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  14. 5394

    EMA attention mechanism working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  15. 5395

    Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  16. 5396

    GSConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  17. 5397

    PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…Compared to YOLOv8, our approach achieved improvements of 7.6% and 2.8% in mAP@0.5, and increases of 2.1% and 1.1% in mAP@0.5:0.95. Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …”
  18. 5398
  19. 5399

    Variable settings and assignment descriptions. by Yuling Jin (11872953)

    Published 2025
    “…The results showed that (1) rural population aging had emerged as a significant challenge for Ulanqab, with the proportion of people aged 60 and above increasing from 12.3% in 2000 to 44.9% in 2020. …”
  20. 5400

    Investigating the Influence of Transition Metal Substitution in Lithium Argyrodites on Structure, Transport, and Solid-State Battery Performance by Johannes Hartel (16316022)

    Published 2024
    “…This leads to blocking of Li<sup>+</sup> transport pathways within the Li<sup>+</sup> cages causing a decrease of ionic conductivities along with increasing activation energies for Li<sup>+</sup> transport. …”