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

Architecture of AGAN algorithm model. by 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. by Yongqi Bu (20477564)

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

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

Algorithm framework. by Zongjin Li (38031)

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Algorithmic experimental parameter design. 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.…”

Genetic algorithm flowchart. by Wenguang Li (6528113)

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

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

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

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

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

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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.…”

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

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

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

Improved random forest algorithm. by 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. …”

K-means++ clustering algorithm. by 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. …”