يعرض 18,181 - 18,200 نتائج من 18,221 نتيجة بحث عن 'significantly ((((((we decrease) OR (greatest decrease))) OR (a decrease))) OR (linear decrease))', وقت الاستعلام: 0.66s تنقيح النتائج
  1. 18181

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

    منشور في 2025
    "…Notably, Ga–Zn particles undergo significant migration of Zn to the surface, forming Ga–Zn oxide structures. …"
  2. 18182

    Ablation Experiment GradCAM Heatmap. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  3. 18183

    Space-to-depth convolution. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  4. 18184

    Data augmentation. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  5. 18185

    Data Sheet 1_Interaction between nasal epithelial cells and Tregs in allergic rhinitis responses to allergen via CCL1/CCR8.pdf حسب Jichao Sha (20756840)

    منشور في 2025
    "…In the AR + Derp1 group, TSLP was higher, and CCL1 protein levels were decreased. There were no significant differences in IL-25, TGF-β and IL-10. …"
  6. 18186

    Side angle tea picking. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  7. 18187

    Image 1_MicroRNA-27b alleviates septic cardiomyopathy by targeting the Mff/MAVS axis.tif حسب Xincai Wang (7819064)

    منشور في 2025
    "…</p>Results<p>Bioinformatics analysis revealed significant downregulation of miR-27b in SCM cardiac tissues (log2FC=-3.9, P<0.001). …"
  8. 18188

    Data Sheet 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.zip حسب Jin Hwa Hong (6523928)

    منشور في 2025
    "…These were visualized through volcano plots and heat maps, while decision trees and random forests classified and stratified the samples.</p>Results<p>A machine learning analysis combined with box plots showed that in the copy number-high (CN-H) recurrence group, PARD6G-AS1 had decreased methylation, CSMD1 had increased methylation, and TESC expression was higher than the non-recurrence group. …"
  9. 18189

    Comparison results of ablation experiments. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  10. 18190

    Table of dataset division. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  11. 18191

    Table 1_MicroRNA-27b alleviates septic cardiomyopathy by targeting the Mff/MAVS axis.docx حسب Xincai Wang (7819064)

    منشور في 2025
    "…</p>Results<p>Bioinformatics analysis revealed significant downregulation of miR-27b in SCM cardiac tissues (log2FC=-3.9, P<0.001). …"
  12. 18192

    Striking image. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  13. 18193

    Flow chart. حسب Aysenur Karakus (21192337)

    منشور في 2025
    "…Both TTH and migraine groups received PRT twice a week for six weeks,</p><p>Results</p><p>Within-group comparisons showed significant decreases in attack frequency, VAS, HIT-6, PCS, and WHODAS-II scores in both groups post-intervention (p<0.001). …"
  14. 18194

    Precision, recall, F1-Score curve. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  15. 18195

    Model comparison experimental results. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  16. 18196

    Slicing aided hyper inference algorithm. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  17. 18197

    Microbiome-host genetic association. حسب Tamizhini Loganathan (18538349)

    منشور في 2025
    "…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"
  18. 18198

    Summary description of the samples. حسب Tamizhini Loganathan (18538349)

    منشور في 2025
    "…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …"
  19. 18199

    Improved YOLOv10 network structure. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"
  20. 18200

    Loss function variation curve. حسب Chunhua Yang (346871)

    منشور في 2025
    "…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …"