Search alternatives:
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
better decrease » greater decrease (Expand Search), between decreased (Expand Search)
small decrease » small increased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
better decrease » greater decrease (Expand Search), between decreased (Expand Search)
small decrease » small increased (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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1181
Means of sampling data in the Shibing study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1182
Technology roadmap.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1183
Zunhua study area factor rotation results.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1184
Value of ecological products in the study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1185
Means of sampling data in the Zunhua study area.
Published 2025“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”
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1186
Flowchart of the study population.
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). …”
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1187
Characteristics of study population.
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). …”
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1188
RFAConv working principle.
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. …”
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1189
PConv working principle.
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. …”
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1190
Improvement of SPPF to SPPF-R process.
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. …”
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1191
PR comparison on RSOD dataset.
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. …”
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1192
Ablation study on the RSOD dataset.
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. …”
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1193
Structure and working principle of LI-YOLOv8.
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. …”
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1194
C2f-E improvement process.
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. …”
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1195
Structure of Detect and GP-Detect.
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. …”
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1196
YOLOv8 structure and working principle.
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. …”
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1197
Improvement of CBS to CBR process.
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. …”
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1198
EMA attention mechanism working principle.
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. …”
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1199
Ablation study on the NWPU VHR-10 dataset.
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. …”
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1200
GSConv working principle.
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. …”