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)

Experimental data of ZFD-Net algorithm for defects. حسب Yang Gao (18005)

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

Detailed information of the field experiments. حسب Yonghui Zhang (279832)

SNR comparison of real-field seismic profile. حسب 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. …"

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

الموضوعات:

Genetic Algorithm Workflow for Parameterization of a Water Model Using the Vashishta Force Field حسب Anthony Val C. Camposano (20589131)

Genetic Algorithm Workflow for Parameterization of a Water Model Using the Vashishta Force Field حسب Anthony Val C. Camposano (20589131)

Genetic Algorithm Workflow for Parameterization of a Water Model Using the Vashishta Force Field حسب Anthony Val C. Camposano (20589131)

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Experimental data set. حسب Jihong Sun (344786)

الموضوعات:

Agricultural field path planning diagram. حسب Manxian Yang (20521600)

"…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. …"

Partial field data of Huaxing Farm. حسب Manxian Yang (20521600)

"…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. …"

Ablation comparison experimental data. حسب Tengfei Ma (597633)

الموضوعات:

Experimental parameter settings. حسب Yonggang Huang (223155)

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)

Collection of experimental data (in cm). حسب Jihong Sun (344786)

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