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Showing 1,821 - 1,840 results of 1,952 for search 'significantly ((((smaller decrease) OR (larger decrease))) OR (small decrease))', query time: 0.46s Refine Results
  1. 1821

    OSNet network structure. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  2. 1822

    YOLOv8 overall framework. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  3. 1823

    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  4. 1824

    Network structure of OSA. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  5. 1825

    The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  6. 1826

    Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  7. 1827

    Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  8. 1828

    Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  9. 1829

    Improved detection layer. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  10. 1830

    The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  11. 1831

    The matching process of EIOU. by Wenshun Sheng (21485393)

    Published 2025
    “…For the purpose of further enhancing the processing capability of small-scale features, a small target detection head is first introduced to the detection layer of YOLOv8 in this paper with the aim of collecting more detailed information by increasing the detection resolution of YOLOv8 to ensure precise and fast detection. …”
  12. 1832

    Table 1_Deep brain stimulation for obsessive compulsive disorder leads to symptom changes of comorbid irritable bowel syndrome.docx by Mohamed A. Abdelnaim (16976001)

    Published 2025
    “…Future research using larger sample sizes should address whether the reductions are tied to the improvement of OCD symptoms or if DBS exerts positive effects on IBS independently of OCD symptoms.…”
  13. 1833

    Spatial variation and clgassification of anthropogenic soils formed by long-term “<i>Dorotsuke”</i> soil-dressing in Andosols of the Omiya Upland along the Arakawa River, Japan by Shokichi Wakabayashi (3872428)

    Published 2025
    “…The two anthropogenic horizons exceeded 50 cm in thickness with different soil textures, while one of the other two showed significant mixing with Andosol. The profiles exhibited a vertical attenuation of andic characteristics, including increased bulk density, decreased short-range-order mineral content, and reduced phosphate retention, from the buried Andosol up to the topsoil. …”
  14. 1834

    Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

    Published 2025
    “…The lower HU group had larger endplate defects (p < 0.001, p < 0.01), and the lower endplates had a greater standardized defect width and cumulative defect score than the upper endplates (p < 0.01). …”
  15. 1835

    Supplementary Material for: Impacts of air pollution on dynamic lung function in asthma patients: the modifying effect of phenotype susceptibility and possible relationship with ai... by figshare admin karger (2628495)

    Published 2025
    “…PM2.5 had a larger adverse effect on Th2 phenotype asthmatic patients than on non-Th2 phenotype asthmatic patients. …”
  16. 1836

    Data Sheet 1_Alpine steppe vegetation communities are more sensitive to plateau pika disturbance than alpine meadows.docx by Rui Hua (127074)

    Published 2025
    “…</p>Results<p>The results showed that the alpine steppe was more sensitive to pika disturbance, with significant decreases in biomass, vegetation height, and coverage even at low disturbance levels. …”
  17. 1837

    Optimisation of read depth, DNA quantity, and unique alternate observation threshold. by Melinda L. Tursky (20790436)

    Published 2025
    “…Lower read depth may contribute to an overestimated VAF of very small variants, although differences did not reach significance. …”
  18. 1838

    Table 1_Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study.docx by Francesco Campa (20997323)

    Published 2025
    “…</p>Results<p>New reference values for older adults were established. Significant differences (p < 0.001) in R/H and phase angle were observed when older adults were grouped by age categories, while R/H, Xc/H, and phase angle showed significant differences among ALSM/H<sup>2</sup> tertiles. …”
  19. 1839

    Table 2_Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study.docx by Francesco Campa (20997323)

    Published 2025
    “…</p>Results<p>New reference values for older adults were established. Significant differences (p < 0.001) in R/H and phase angle were observed when older adults were grouped by age categories, while R/H, Xc/H, and phase angle showed significant differences among ALSM/H<sup>2</sup> tertiles. …”
  20. 1840

    Behavior is best fit by models with independent attributes. by Aster Q. Perkins (22008260)

    Published 2025
    “…Positive/negative coefficients on option A/B indicate that the probability of choosing option A increases/decreases with the magnitude of that attribute. Larger deviations from 0 are indicative of more influence on the choice. …”