Targeting prediction algorithms are frequently cited across disciplines and rely on a limited training set. by Sven B. Gould (12237287)

Hyperparameter setting. by Xuan Wang (55634)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

parameter settings. by Yanyan Dong (1304145)

parameter settings. by Yanyan Dong (1304145)

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

Subjects:

Second data set. by Mohammed Hlayel (20455634)

First data set. by Mohammed Hlayel (20455634)

6 data sets included in this study. by Xihao Shen (20347942)

Structure of encoder. by Wei Cui (92129)

Final parameter settings for the XGBoost model. by Yaqin He (4627711)

Hyperparameter settings for Word2Vec and Doc2vec. by Lu Xiao (314030)

Subjects:

Data sets implemented for analysis. by Nan Huang (464390)

Experimental data of ZFD-Net algorithm for defects. by Yang Gao (18005)

Data on the prediction performances of ML algorithms. by Yasemin Ayaz Atalan (21989402)

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

For each patient in the data set we can calculate the risk of cardiovascular diseases based on the SCORE2 algorithm. by Anja Mühlemann (18510195)

ROC curve for gene biomarkers on the validated set. by Zongjin Li (38031)

S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse media communication by Hongtao Wang (570131)