Maple code for algorithm 3. by Peter Thompson (165468)

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Code and data. by Shangyang Jin (21772466)

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Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

“…Additionally, formulae for the first through sixth-order radial derivatives are also derived by a recursive method. Numerical test in a mountain area reveals theoretical defects exist in the high-order radical derivatives based on the direct derivation method, whereas the recursive method proves to be effective and practical. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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Performance of machine learning algorithms. by Wenxue Liu (6877754)

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. …”

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

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Data & code. by Mingming Li (502877)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. …”

code&data by Liyuan Liu (18298084)

“…It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …”

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

S1 Code - by Jialiang Zhang (1574704)

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data_code.zip by Mengmeng Gong (20129994)

“…This study introduces a novel inflation algorithm t-X for parameter estimation and validates its feasibility based on theICM used for El Nino and Southern Oscillation (ENSO) simulation and prediction. …”

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Data and code used in this article. by Yazhen Zhu (3595430)

“…By comparing the optimization results of the proposed algorithm with those of the latest multi-population genetic algorithm (MGA) and the market-based bundle task allocation method (MBTA), it is evident that both the proposed algorithm and MGA achieve higher AGV utilization and shorter total task completion times than MBTA, while also optimizing no-load distances. …”

Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)