Code for Most Likely Paths Calculation_ERP حسب Mengqi Yang (21263402)

Algorithm performance test results. حسب Yue Guo (695495)

Element model generation method with geometric distribution errors حسب 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. …"

Access control pseudo-code. حسب Yonggang Huang (223155)

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. حسب Jiren CAO (20442214)

Statistical test of experimental results of NAFPSO and PSO algorithm. حسب Huichao Guo (14515171)

Comparison of PSNR values of different algorithms. حسب Xiaojun Wang (50332)

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Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. حسب Xiaojun Wang (50332)

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Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

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source code of the PyMatterSim package حسب Y.-C. Hu (21440990)

Study inclusion and exclusion flowchart. حسب Jia Wei (120974)

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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…</li></ol><p dir="ltr">The data was generated and analysed with the code available on GitHub at https://github.com/mbalazs98/deventprop/</p><p dir="ltr">results.py contains all test accuracies shown in figures 4-7. …"

The accuracy rate of each algorithm model training set and test set. حسب Jie Lu (139953)

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

"…The data is stored in JSON format under the following labels:</p><ul><li><b>"kannada text"</b> – Kannada algorithmic statement</li><li><b>"text"</b> – English algorithmic statement</li><li><b>"code"</b> – Expected Python output</li></ul><h4><b>Dataset Highlights: -</b></h4><ul><li><b>Triplet Structure:</b> Kannada algorithmic statements, their English translations, and Python code.…"

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. حسب Agata Skorupka (20469080)

Box plots of different algorithms on CEC2017 test function. حسب Tengfei Ma (597633)

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Multiclass comparison of algorithms on test data for KDDCup 99. حسب Arati Behera (19864844)

Ranks of the algorithms for Friedman test of G-set dataset. حسب Md. Rafiqul Islam (403453)

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