Showing 1,181 - 1,200 results of 2,133 for search '(( significantly ((better decrease) OR (teer decrease)) ) OR ( significantly small decrease ))', query time: 0.41s Refine Results
  1. 1181

    Means of sampling data in the Shibing study area. by Yu Zhang (12946)

    Published 2025
    “…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
  2. 1182

    Technology roadmap. by Yu Zhang (12946)

    Published 2025
    “…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
  3. 1183

    Zunhua study area factor rotation results. by Yu Zhang (12946)

    Published 2025
    “…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
  4. 1184

    Value of ecological products in the study area. by Yu Zhang (12946)

    Published 2025
    “…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
  5. 1185

    Means of sampling data in the Zunhua study area. by Yu Zhang (12946)

    Published 2025
    “…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
  6. 1186

    Flowchart of the study population. by Gábor Szaló (22615130)

    Published 2025
    “…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
  7. 1187

    Characteristics of study population. by Gábor Szaló (22615130)

    Published 2025
    “…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
  8. 1188

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  9. 1189

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  10. 1190

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  11. 1191

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  12. 1192

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  13. 1193

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  14. 1194

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  15. 1195

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  16. 1196

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  17. 1197

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  18. 1198

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  19. 1199

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

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”
  20. 1200

    GSConv working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”