بدائل البحث:
largest decrease » marked decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
cnn decrease » nn decrease (توسيع البحث), mean decrease (توسيع البحث), a decrease (توسيع البحث)
_ decrease » _ decreased (توسيع البحث), _ decreasing (توسيع البحث)
largest decrease » marked decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
cnn decrease » nn decrease (توسيع البحث), mean decrease (توسيع البحث), a decrease (توسيع البحث)
_ decrease » _ decreased (توسيع البحث), _ decreasing (توسيع البحث)
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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>"
منشور في 2025"…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …"
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CNN framework.
منشور في 2025"…These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …"
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CNN frameworks.
منشور في 2025"…These models have got a complex optimizer installed on them to decrease the false positive or DDoS case detection efficiency. …"
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CNN model.
منشور في 2025"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"
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Architecture of the proposed shallow CNN.
منشور في 2025"…Classification analysis revealed that ComBat increased average AUC by 15.19%, whereas GAN decreased AUC by 2.56%.</p><p>Conclusion</p><p>While GAN qualitatively enhances image harmonization, ComBat provides superior statistical improvements in feature stability and classification performance, highlighting the importance of robust feature-level harmonization in radiomics.…"
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CNN-LSTM action recognition process.
منشور في 2025"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"
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TITAN decreaser diatom heatmap.
منشور في 2025"…., <i>z-</i>) diatom taxa (y-axis) to at least one of the five stressors, in decreasing order of number of stressor responses. Blue-orange scale corresponds to the <i>z</i> score that indicates the magnitude of response to a stressor.…"
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Mask R-CNN training loss graph.
منشور في 2024"…The reported scale and decreased to a value close to 0 indicates that the model has effectively learned from the training data, enabling it to recognize object shapes and make accurate classifications.…"
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Content analysis of groups with decreased confidence.
منشور في 2025"…<p>Content analysis of groups with decreased confidence.</p>…"
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