A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”

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

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

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

The St Mary’s Hospital Sleep Questionnaire was used to estimate the sleep quality on the previous night. by Marcel F. Hinss (14675457)

Subjects:

The Samn-Perelli Scale is a 7-point Likert scale used to assess fatigue [42, 45]. by Marcel F. Hinss (14675457)

Subjects:

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)

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”

Investigating the trend of land use class changes. by Abdolhossein Boali (19996390)

Subjects:

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

The maps illustrating wind erosion in northeastern Iran for 2008 and 2023, generated using various models from the SDM package. by Abdolhossein Boali (19996390)

Subjects:

Linear regression. by Myriam Aïche (22290591)

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

“…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”

Wind erosion monitoring during the 15 years (2008–2023) using the ensemble model, generated in the ArcGIS 10.7.1 software (www.esri.com) and R 4.3.2 software (www.r-project.org). by Abdolhossein Boali (19996390)

Subjects:

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)

“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

Linear contact model. by Qingwen Li (1510687)

The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

Subjects:

Linear regression analysis. by Young Kyu Lee (14076058)