Correlation heatmap with significance. حسب Bo Dong (218172)

"…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …"

Random Forest based prediction process. حسب Mohammed Majeed Hameed (14053535)

"…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …"

Prediction models based on neural networks. حسب Jorge L. B. Araújo (20324246)

الموضوعات:

Geometric significance. حسب Liangliang Yang (3814120)

Variations in the mean force coefficients. حسب Shantanu S. Bhat (5446082)

الموضوعات:

Best performance based on linear and quadratic model. حسب Alina Bazarova (17138191)

Display of significance test results. حسب Qingchun Jiao (18388097)

"…In this study, the trend prediction model for the experimental process of fabric tear performance testing (BLTT-FT) based on the “bidirectional long- and short-term attention mechanism” is adopted. …"

Process of UWB location prediction based on LSTM. حسب Li Wang (15202)

"…Experimental results demonstrate that the SO-LSTM-based positioning method yields a maximum positioning error of 0.1125 meters and a root mean square error of 0.0589 meters. In comparison to conventional approaches such as the least squares method (LS) and the Kalman filter method (KF), the proposed SO-LSTM-based positioning method significantly reduces the root mean square error (RMSE) by 63.39% and 58.01%, respectively, while also decreasing the maximum positioning error (MPE) by 60.77% and 52.65%.…"

Metacognitive and predictive bias results. حسب Sarah M. Tashjian (5615795)

"…</b> Model parameters for metacognitive and predictive bias coefficients regressed against model-based control weighting (<i>ω</i>) and learning rate (<i>α</i>) parameters for each task variant. …"

Introgression decreases allelic shuffling. حسب Enrique J. Schwarzkopf (6579275)

Observed and predicted changes for the five metabolites significantly associated with the rs603424 SNP. حسب Juliette Cooke (11402543)

Table1_Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning.xlsx حسب Xiabing Zheng (19527181)

Image 1_Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods.tif حسب Wen-Tong Ji (20457248)

"…Objectives<p>to construct a prediction model for clinically significant prostate cancer (csPCa) based on prostate-specific antigen (PSA) levels, digital rectal examination (DRE), and transrectal ultrasonography (TRUS).…"

Mean values of participants’ heart rate. حسب Ezel Üsten (16548547)

Mean values of participants’ heart rate. حسب Ezel Üsten (16548547)

Mean T2* and T2 relaxation time of the 10 participants. حسب Charlotte Zaeske (12101949)

Mean T2* and T2 relaxation time of the 10 participants. حسب Charlotte Zaeske (12101949)

The top five significant biological processes for each trait. حسب Hyo Jun Lee (9721560)

Factors containing significant socio-psychological constructs that predict engagement in dietary relational organizing. حسب Laura Thomas-Walters (22383868)

Predictive relevance of endogenous variables. حسب Xiangge Zhao (18264780)