Fitted density estimates under the clustering solution of the K⋅R model. by Koyel Majumdar (20416871)

ASTCT_data & code by Ju Peng (13922445)

STALS Data and Code by Weihua Huan (21004622)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Subjects:

Optimization results for fitness. by Ronghua Meng (20978441)

ZM deep convection code structure. by Yongfei Wang (608480)

Statistical Analysis Code. by James M. Smoliga (9074225)

The schematic diagram of the hierarchical clustering algorithm. by Xiaojie Feng (6873953)

Subjects: “…original multidimensional data…”

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Algorithm parameter settings. by Yue Guo (695495)

The_Code_for_High_Order_Analytical_Continuation by Jian Ma (19747060)

Comparison of the 25 ML algorithms in terms of precision, delay, and ROC-AUC. by Tian Xia (139140)

Source code, protocol, and Input/Output data. from Towards an information theoretic framework for MSA sub-sampling by Christopher Barrett (206055)

Data results under different time series processing techniques. by Jiayuan Wang (3765376)

Subjects:

The specific architecture of the FcaNet-cycleGan style transfer method. by Xiaojun Wang (50332)

Subjects:

Ricker seismic profile. by Zhenjing Yao (22189970)

“…<div><p>Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations. 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)

“…<div><p>Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations. 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)

“…<div><p>Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations. 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. …”