The linearly decreasing convergence factor a. by Junhao Wei (6816803)

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. by Hua Huo (1818133)

“…<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.…”

Changes in baseline CD4 count through week 12 and week 24 according to the linear regression model. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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The selection of indicators based on their correlation with ground surface data. by Abdolhossein Boali (19996390)

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Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot’s motion strategy and reduce tracking errors. Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Performance evaluation of models based on various indicators in 2008 and 2023. by Abdolhossein Boali (19996390)

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Field-based data for spatio-temporal wind erosion risk analysis. by Abdolhossein Boali (19996390)

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Performance evaluation of ensemble model based on various indicators in 2008 and 2023. by Abdolhossein Boali (19996390)

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The refracted opposition-based learning mechanism. by Yang Guo (399435)

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Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

Linear regression. by Myriam Aïche (22290591)

Biases in larger populations. by Sander W. Keemink (21253563)

“…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<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". …”

Linear contact model. by Qingwen Li (1510687)

Fig 1 - by Björn Jörges (9258411)

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