Optimize process data and final results by Dawei Wang (471687)

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Data description and sources. by Xiaodan Li (132227)

BIC Non-linearity findings. by Nayeem Ahmad Khan (11727377)

SAC’s findings for suggested S-Box. by Nayeem Ahmad Khan (11727377)

Decision tree construction process in Microsoft decision tree algorithm. by Liangzheng Wu (20501304)

Data processing. by Jay Chandra (19703931)

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

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…In addition, during the training process, it was found that both the server aggregation algorithm and the client knowledge graph embedding model performance can affect the overall performance of the algorithm.Therefore, a new server aggregation algorithm and knowledge graph embedding model RFE are proposed. …”

The process of the optimization (MIGA). by Shangyang Jin (21772466)

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Data processing diagram, logs are classified and converted into numerical vectors through Algorithm 1. by Hao Zhang (15339)

“…<p>Data processing diagram, logs are classified and converted into numerical vectors through Algorithm 1.…”

Etalon2 observations and algorithmic processing results. by Jinyu Wang (381467)

Lares2 observations and algorithmic processing results. by Jinyu Wang (381467)

Etalon1 observations and algorithmic processing results. by Jinyu Wang (381467)

The flowchart of GWO-VMD method. by Zhenjing Yao (22189970)

“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”

The construction process of the improved data fusion model. by Tang Ruipeng (20141334)

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Construction process of RF. by Xini Fang (20861990)

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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. …”

Brain-inspired algorithm “cocktail party” listening data for individuals with hearing loss by Alex Boyd (20911316)