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

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

"…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. …"

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

الموضوعات:

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. حسب Tosi M. Mwakyandile (16408705)

الموضوعات:

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

"…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"

Larger example of stimuli with cue relevant for Task 3. حسب Marcel F. Hinss (14675457)

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

الموضوعات:

Deep learning-based locomotive syndrome prediction method. حسب Junichi Kushioka (12236447)

الموضوعات:

A Locally Linear Dynamic Strategy for Manifold Learning. حسب 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). …"

Biases in larger populations. حسب 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. …"

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. حسب Beatriz Arregui-Gallego (21553735)

The most common machine learning methods to predict ν_s. حسب Fahd Saeed Alakbari (10701871)

الموضوعات:

Fig 8 - حسب Abdolhossein Boali (19996390)

الموضوعات:

Fig 5 - حسب Abdolhossein Boali (19996390)

الموضوعات:

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

الموضوعات:

Importance of variables in the study area in 2023, generated in the R 4.3.2 software (www.r-project.org) and Microsoft Office Excel 2023 (https://www.microsof.com). حسب Abdolhossein Boali (19996390)

الموضوعات:

Fig 1 - حسب Abdolhossein Boali (19996390)

الموضوعات:

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). حسب Abdolhossein Boali (19996390)

الموضوعات:

Methodological flowchart for this study, generated in Microsoft Office Word 2023 (https://www.microsof.com). حسب Abdolhossein Boali (19996390)

الموضوعات:

Fig 4 - حسب Abdolhossein Boali (19996390)

الموضوعات: