A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Ricker seismic profile. 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. …”

Noise reduction on testing sets from STEAD. 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. …”

SNR comparison of real-field seismic profile. 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 147th single trace. 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. …”

Data after data processing. by Jiaqi Wang (369548)

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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

Data processing. by Jay Chandra (19703931)

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 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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