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

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

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

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

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

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

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

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Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

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

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

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Issues with automatic and team-based QC. by Michael E. Kim (21956727)

“…<p>When maintaining large neuroimaging datasets with multiple processing pipelines, shallow quality control processes that rely on derived metrics can fail to catch instances of algorithmic failures. …”

Data Sheet 1_Research on persimmon fruit diameter accurate detection method based on improved RCNN instance segmentation algorithm.zip by Yuan Fang (132924)

“…<p>Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter detection algorithm based on the Region-based Convolutional Neural Network (RCNN) Mask and instance segmentation algorithm. …”

Local contrast enhancing using CLAHE algorithm is necessary for optimized cell segmentation by <i>PUPAID</i>. by Paul Régnier (17114845)

C4.5 establishment process of C4.5 DT model. by Haotong Han (20855036)

“…Additionally, the impact of SCs on individuals’ mythical experiences is investigated.</p><p>Methods</p><p>An information security analysis model based on the combination of KMC and DT algorithms is established. …”

Fire monitoring process. by Md. Shafak Shahriar Sozol (21212880)

“…<div><p>Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. …”

Results of different equalization methods. by Mingtao Gao (21722035)

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Style transfer effect between illustrations and images of different artistic styles (All images are original creations created by the author). by Xiaojun Wang (50332)

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Comparison table of filter algorithm parameters. by Xuanyi Zhao (5896112)

“…Experimental results show that using an optimized dehazing processing method on industrial images affected by water fog achieves an average PSNR of 34.9 dB and an SSIM of 0.951. …”