Showing 1 - 20 results of 22 for search '(( significant ((small decrease) OR (mean decrease)) ) OR ( significant application _ ))~', query time: 0.68s Refine Results
  1. 1

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  2. 2

    Algorithm training accuracy experiments. by Yingying Liu (360782)

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  3. 3

    Repeat the detection experiment. by Yingying Liu (360782)

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  4. 4

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  5. 5

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  6. 6

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  7. 7

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  8. 8

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  9. 9

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  10. 10

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

    Published 2025
    “…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”
  11. 11
  12. 12

    Among novel KOR antagonists, PF-04455242 stands out as activating a current. by Elyssa B. Margolis (7933838)

    Published 2020
    “…This neuron responded to U-69,593 with a small outward current and decrease in input resistance. …”
  13. 13

    Table_1_One-year recurrence of stroke and death in Lebanese survivors of first-ever stroke: Time-to-Event analysis.docx by Celina F. Boutros (14113527)

    Published 2022
    “…Background<p>To date, despite the application of secondary prevention worldwide, first-ever stroke survivors remain at imminent risk of stroke recurrence and death in the short and long term. …”
  14. 14

    Table_1_Effect of Abdominal Circumference on the Irradiated Bowel Volume in Pelvic Radiotherapy for Rectal Cancer Patients: Implications for the Radiotherapy-Related Intestinal Tox... by Gang Wang (36685)

    Published 2022
    “…</p>Results<p>Among the four body size indicators, AC showed a negative linear correlation with the irradiated bowel volume, which was the most significant and stable. In adjuvant radiotherapy patients, we further discovered the threshold effect between AC and irradiated bowel volume, as AC was greater than the inflection point (about 71 cm), irradiated bowel volume decreased rapidly with the increase in AC. t-test showed that in patients with small AC (<71 cm), the irradiated bowel volume was significantly higher than that of patients with medium-large AC (≥71 cm). …”
  15. 15

    DataSheet1_A New Definition for Intracranial Compliance to Evaluate Adult Hydrocephalus After Shunting.PDF by Seifollah Gholampour (5154608)

    Published 2022
    “…In addition to measuring CSF volume (CSFV) in each stage, intracranial pressure (ICP) was also calculated using fluid–structure interaction simulation for the noninvasive calculation of ICC. Despite small increases in the brain volume (16.9%), there were considerable decreases in the ICP (70.4%) and CSFV (80.0%) of hydrocephalus patients after 18 months of shunting. …”
  16. 16

    Table_1_The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study.DOCX by Zijun Wan (15456452)

    Published 2023
    “…</p>Results<p>In our evaluation, RNN decoder and retrained scheme showed consistent better performance under small recording degradation. However, the serious signal degradation would cause significant performance to drop eventually. …”
  17. 17

    Image_1_The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study.JPEG by Zijun Wan (15456452)

    Published 2023
    “…</p>Results<p>In our evaluation, RNN decoder and retrained scheme showed consistent better performance under small recording degradation. However, the serious signal degradation would cause significant performance to drop eventually. …”
  18. 18

    Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

    Published 2025
    “…The findings show that small-scale datasets or higher false detection rates lead to decreased accuracy. …”
  19. 19

    Scaling analyses and morphometrics of <i>Ginkgo biloba</i> seeds by Wen Gu (129075)

    Published 2025
    “…When seeds were grouped by the ellipsoid index (EI = <i>V</i>/<i>V</i><sub>E</sub>), the scaling exponent of <i>V</i> vs. <i>M</i> decreased from values significantly greater than one to values less than one as EI increased. …”
  20. 20

    Image_1_Feline coronavirus influences the biogenesis and composition of extracellular vesicles derived from CRFK cells.JPEG by Sandani V. T. Wijerathne (19171495)

    Published 2024
    “…Cell viability was analyzed and found to be significantly decreased by 9% (48 h) and 15% (72 h) due to FCoV infection. …”