K-means++ clustering 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. …"

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

ASEF algorithm improving the localization error of PCA algorithm. حسب Na Lin (69470)

الموضوعات:

Data and code resources. حسب Sam Hall-McMaster (10343795)

Spatial dimension recognition rate and recognition time of 40 subjects. حسب Na Lin (69470)

الموضوعات:

Workflow of the BOMS algorithm. حسب Ocima Kamboj (21533199)

Face recognition algorithm flow. حسب Na Lin (69470)

الموضوعات:

Main steps and advantages of ASEF algorithm. حسب Na Lin (69470)

الموضوعات:

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Face recognition algorithm flow based on the PCA. حسب Na Lin (69470)

الموضوعات:

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) حسب Brian Bockelman (5128082)

Impact of multiunit merging on neural information encoding. حسب Daniel Suárez-Barrera (22676654)

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. …"

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"