Showing 18,761 - 18,780 results of 19,584 for search '(( significantly ((we decrease) OR (a decrease)) ) OR ( significant increase decrease ))', query time: 0.72s Refine Results
  1. 18761

    Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

    Published 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. …”
  2. 18762

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

    Published 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. 18763

    Data augmentation. by Chunhua Yang (346871)

    Published 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. 18764

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

    Published 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. …”
  5. 18765

    Side angle tea picking. by Chunhua Yang (346871)

    Published 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. …”
  6. 18766

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

    Published 2025
    “…LPS-induced SCM model exhibited cardiac dysfunction, myocardial injury, mitochondrial abnormalities, decreased miR-27b expression, and increased Mff and MAVS levels. miR-27b targeted Mff to maintain mitochondrial homeostasis, thus attenuating LPS-induced cardiomyocyte inflammation and apoptosis, while Mff overexpression reversed this protective effect.…”
  7. 18767

    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 by Jin Hwa Hong (6523928)

    Published 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. …”
  8. 18768

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

    Published 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. …”
  9. 18769

    Table of dataset division. by Chunhua Yang (346871)

    Published 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. 18770

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

    Published 2025
    “…LPS-induced SCM model exhibited cardiac dysfunction, myocardial injury, mitochondrial abnormalities, decreased miR-27b expression, and increased Mff and MAVS levels. miR-27b targeted Mff to maintain mitochondrial homeostasis, thus attenuating LPS-induced cardiomyocyte inflammation and apoptosis, while Mff overexpression reversed this protective effect.…”
  11. 18771

    Striking image. by Chunhua Yang (346871)

    Published 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. …”
  12. 18772

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

    Published 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. 18773

    Model comparison experimental results. by Chunhua Yang (346871)

    Published 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. …”
  14. 18774

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

    Published 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. 18775

    Improved YOLOv10 network structure. by Chunhua Yang (346871)

    Published 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. 18776

    Loss function variation curve. by Chunhua Yang (346871)

    Published 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. 18777

    Different model detection results comparison. by Chunhua Yang (346871)

    Published 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. …”
  18. 18778

    Inner-IoU. by Chunhua Yang (346871)

    Published 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. …”
  19. 18779

    Extraction time and mustard concentration for extraction of aquatic oligochaetes by using wet funnel by Satoshi Kaneda (571209)

    Published 2025
    “…Extraction efficiency was analyzed using generalized linear models with a quasibinomial error structure and a logit link-function for Exp. …”
  20. 18780

    Supplementary file 3_Intracerebroventricular calycosin attenuates cerebral ischemia-reperfusion injury in rats via HMGB1-dependent pyroptosis inhibition.jpeg by Yuhui Zhang (399617)

    Published 2025
    “…</p>Results and Discussion<p>Calycosin significantly reduced neurological impairments and brain infarction in a dose-dependent manner, alleviated neuronal damage and decreased the expression of pyroptosis-related markers, including NLRP3, GSDMD, HMGB1, IL-1β, IL-18, and caspase-1. …”