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

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

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

Convergence curve of the DBO algorithm. حسب 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. …"

Scatter diagram of different principal elements. حسب 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. …"

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

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. حسب Tomokaze Shiratori (9635271)

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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. …"

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. حسب Abdullah Asım Yılmaz (20715311)

The errors of the predictions based on different algorithm methods. حسب Zhang Wei (317854)

"…<p>The errors of the predictions based on different algorithm methods.</p>…"

Computation time as a function of the sample size on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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Examples of ground-truth graph structures with (<i>p</i>, <i>n</i>_≠0) = (10, 10). حسب Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Number of edges selected through cross-validation on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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Graphs of the regularization terms. حسب Tomokaze Shiratori (9635271)

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F1 score of a given number of selected edges on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات: