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

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. …"

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. حسب Søren Egstrand (10906087)

Utilizing an Ishikawa diagram for comprehensive root cause analysis encourages a broader exploration of potential causes beyond linear thinking by visually organizing and categoriz... حسب Mohammad Bakhtiari (11838264)

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

"…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"

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

Model and learning rule. حسب Janis Keck (21587252)

"…The right column has the same pre- and postsynaptic activities as the left column, only in reverse order. In <b>(C)</b>, the learning rule with parameters is used, while in <b>(D)</b> Only in the latter the synaptic weight changes are preserved (in reverse order), while in <b>(C)</b>, postsynaptic activity before presynaptic activity leads to a net weight decrease. …"

Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA.... حسب Emir Matpan (21655811)

"…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …"

A frame from the video with behaviors annotated in a custom way. حسب Piotr Popik (292215)

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:

Map of Pakistan with marked Punjab province. حسب Sumaira Sumaira (21453523)

Assessment values of machine learning models. حسب Bin Pan (742525)

الموضوعات:

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. حسب Peiqi Yin (6533747)

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... حسب Teagan McMahon (20108036)

The parameters of gas exchange markedly decreased in maize <i>zmstomagen1/2</i> mutant compared with in wild type (WT). حسب Juan-Juan Xu (18590868)

PLB is a target gene of miRNA 221. حسب Hongyu Li (1332669)

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... حسب Teagan McMahon (20108036)

Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Empirical model establishment process. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"

Structure diagram of GBDT model. حسب Hongqi Wang (2208238)

"…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"