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

Flow chart of the DBSCAN algorithm. by Ming Jiang (11433)

“…Furthermore, it offers robust support for the sustainable development of the car rental industry.…”

Comparison of algorithms for vehicle home location. by Ming Jiang (11433)

The robustness test results of the model. by Xini Fang (20861990)

“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Data Sheet 2_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip by Xia Zheng (384416)

Data Sheet 1_Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data.zip by Xia Zheng (384416)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

RMSE value filled by different algorithms (mean ± std). by Xing Chen (140292)

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K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

Comparison of mass attenuation coefficient calculated by Geant4 simulation and acquired from NIST data. by Dong Hyeok Choi (12562048)

Comparison between the proposed algorithm and other clustering methods on six datasets (parameter values are in the parentheses). by Zilong Deng (4594117)

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Geographic distribution of analysed stock exchanges. by Marcin Stawarz (10833752)

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Distortion score vs. number of clusters. by Marcin Stawarz (10833752)

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Silhouette coefficient vs. number of clusters. by Marcin Stawarz (10833752)

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RMSE value of missing data filling algorithms on different datasets (mean ± std). by Xing Chen (140292)

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RMSE value of missing data filling algorithms on different datasets (mean ± std). by Xing Chen (140292)

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Mean prevalence of CoC across groups created using the k-means algorithm. by Shafayet Khan Shafee (22593191)