بدائل البحث:
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
lower decrease » larger decrease (توسيع البحث), linear decrease (توسيع البحث), teer decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
greatest decrease » treatment decreased (توسيع البحث), greater increase (توسيع البحث)
lower decrease » larger decrease (توسيع البحث), linear decrease (توسيع البحث), teer decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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3801
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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3802
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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3803
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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3804
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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3805
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%. …"
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3806
Network loss function change 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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3807
Comparative diagrams of different indicators.
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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3808
YOLOv8n 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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3809
Geometric model of the binocular system.
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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3810
Enhanced 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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3811
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3812
Graphical abstract regarding program development.
منشور في 2024"…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …"
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3813
Phases of the intervention program.
منشور في 2024"…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …"
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3814
Influence of Postsynthetic Ligand Exchange in ZIF‑7 on Gate-Opening Pressure and CO<sub>2</sub>/CH<sub>4</sub> Mixture Separation
منشور في 2024"…The field of flexible metal–organic frameworks (MOFs) has garnered significant attention from researchers due to their potential for gas storage and capture applications. …"
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3815
Consort diagram.
منشور في 2024"…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …"
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3816
Influence of Postsynthetic Ligand Exchange in ZIF‑7 on Gate-Opening Pressure and CO<sub>2</sub>/CH<sub>4</sub> Mixture Separation
منشور في 2024"…The field of flexible metal–organic frameworks (MOFs) has garnered significant attention from researchers due to their potential for gas storage and capture applications. …"
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3817
Characteristics of the sample.
منشور في 2024"…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …"
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3818
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3819
The framework of this study.
منشور في 2025"…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …"
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3820
Ecological risk level and area from 2000 to 2020.
منشور في 2025"…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …"