Search alternatives:
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search), linear decrease (Expand Search)
small decrease » small increased (Expand Search)
significantly small » significantly smaller (Expand Search), significantly impact (Expand Search), significantly impair (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search), linear decrease (Expand Search)
small decrease » small increased (Expand Search)
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1141
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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1142
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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1143
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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1144
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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1145
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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1146
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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1147
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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1148
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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1149
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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1150
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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1151
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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1152
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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1153
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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1154
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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1155
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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1156
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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1157
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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1158
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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1159
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. …”
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1160
PR comparison on 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. …”