The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …”

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

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

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

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm by Pankaj Tyagi (20147683)

Code used for data analysis in this study. by Nourin Sultana (22339463)

Subjects:

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Key Findings and Methodologies. by Carlos M. Ardila (19996060)

CatBoost algorithm structure to predict clinical outcome. by Andrew McDonald (2307400)

Subjects: “…provide interpretable predictions…”

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

Subjects:

Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

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