Decision tree algorithms. حسب Mahbub E. Sobhani (22278967)

"…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. We have used decision tree (C4.5) as the base classifier of Random Forest and AdaBoost classifiers and naïve Bayes classifier as the base classifier of the Bagging model. …"

Machine learning algorithms hyperparameter values. حسب Mahbub E. Sobhani (22278967)

Architecture of AGAN algorithm model. حسب Xing Chen (140292)

"…This approach establishes the missing data filling mechanism based on the generative adversarial networks, which ensures the rationality of the data distribution while filling the missing data samples. …"

Efficiency of imputation algorithms. حسب Yongqi Bu (20477564)

Hyperparameters’ setting for PSO algorithm. حسب Feng Shen (151470)

الموضوعات:

Algorithm framework. حسب Zongjin Li (38031)

الموضوعات:

The workflow of SCARS-Logistic algorithm. حسب Maryam Sadiq (7046903)

Algorithmic experimental parameter design. حسب 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.…"

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Performance of models by different algorithms. حسب Yong Zhang (5893)

الموضوعات:

Trace plot and histogram of MCMC samples using MH algorithm. حسب Salem A. Alyami (10572611)

الموضوعات:

S1 Data - An improved YOLOv8s-based UAV target detection algorithm حسب Xinwei Wang (352488)

Genetic algorithm flowchart. حسب Wenguang Li (6528113)

الموضوعات:

Comparison of accuracy and recall between different algorithms. حسب Wangyouchen Zhang (21681025)

Spatial spectrum estimation for three algorithms. حسب 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.…"

Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

الموضوعات:

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Process of facial feature extraction and recognition method based on ipca algorithm. حسب Lu Lin (201289)

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

الموضوعات:

Improved random forest algorithm. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"