بدائل البحث:
larger decrease » marked decrease (توسيع البحث)
lower decrease » linear decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
lower decrease » linear decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
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3301
Effect by world bank income classification.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3302
Marginal effect of additional hot day on SWB.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3303
Income satisfaction measure.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3304
Marginal effect of HTD on income and SWB.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3305
Estimation procedure flow-chart.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3306
Structural model outline.
منشور في 2025"…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …"
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3307
OVX educes bone density of femur.
منشور في 2025"…Compared to Sham rats, OVX tats had a significant decrease in bone mass and impaired bone micro structure: (L) BMD, (M) BV, (N) BV/TV, (O) Tb.N,(P) Tb.Sp, and (Q) Tb.Th. …"
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3308
<b> </b> Energy efficiency and gas volume comparison.
منشور في 2025"…CO₂ yield was higher in the control group at lower temperatures, while the integrated system consistently produced more biochar and biogas. …"
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3309
Model validation of kinetic parameters.
منشور في 2025"…CO₂ yield was higher in the control group at lower temperatures, while the integrated system consistently produced more biochar and biogas. …"
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3310
Dataset visualization diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3311
Dataset sample images.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3312
Performance comparison of different models.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3313
C2f and BC2f module structure diagrams.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3314
YOLOv8n detection results diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3315
YOLOv8n-BWG model structure diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3316
BiFormer structure diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3317
YOLOv8n-BWG detection results diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3318
GSConv module structure diagram.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3319
Performance comparison of three loss functions.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"
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3320
mAP0.5 Curves of various models.
منشور في 2025"…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …"