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

“…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. …”

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

“…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. …”

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

“…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. …”

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

“…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. …”

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

“…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. …”

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

“…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. …”

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

“…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. …”

GSConv working principle. by Pingping Yan (462509)

“…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. …”

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

“…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. …”

Contents of PIO Program. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

Demographic characteristics of participants. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

Social robot PIO (version 3.5). by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

12 session programs of social robot PIO. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

Supplementary Material for: Cabergoline’s Promise in Endometriosis: Restoring Molecular Balance to Improve Reproductive Potential by figshare admin karger (2628495)

“…Notably, oocyte quality significantly improved in the Cabergoline group (p = 0.0318). …”

Architecture of Swin-T model. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”

Model the experimental results curve. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”

Results of comparison experiments. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”

Architecture of Swin Transformer Block. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”

Disease distribution map of the GZDL-BD. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”

Token merging module. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. …”