بدائل البحث:
linear decrease » linear increase (توسيع البحث)
large decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث), large increases (توسيع البحث)
learning test » learning task (توسيع البحث), learning tasks (توسيع البحث), learning rates (توسيع البحث)
test decrease » teer decrease (توسيع البحث), cost decreased (توسيع البحث), mean decrease (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
large decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث), large increases (توسيع البحث)
learning test » learning task (توسيع البحث), learning tasks (توسيع البحث), learning rates (توسيع البحث)
test decrease » teer decrease (توسيع البحث), cost decreased (توسيع البحث), mean decrease (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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STL Linear Combination Forecast Graph.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …"
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Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.
منشور في 2025"…<p>Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.…"
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Linear regressions of consumer stable carbon and nitrogen isotope values and collection date.
منشور في 2025الموضوعات: -
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Results from linear regression analysis for δ<sup>13</sup>C or δ<sup>15</sup>N and collection date.
منشور في 2025الموضوعات: -
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