Flowchart of weighting using the AHP method. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”

Flowchart of weighting using the entropy method. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”

Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). 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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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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Proportion of models that achieved nominal coverage of Bonferroni adjusted 95% confidence intervals. by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Schematic diagram of ROI extraction algorithm. by Chengrui Lin (18700392)

“…In the open-set test, with a success rate of 93.4%, an average detection time of 5.95ms on the GPU, it was far ahead of the latest palm print ROI extraction algorithm and could be applied in practice.</p></div>…”

First-order lag averaging filtering algorithm. by Shaohua Fu (10573209)

“…<div><p>In order to improve the hardware configuration and interaction mode of the fish tank system and realize the diversification of client functions, the purpose of real-time remote monitoring and management is achieved. …”

Result of the objective function for four problem answers for different numbers of subbands. by Maryam Chinipardaz (18098413)

Parameters used to train the xgboost final models through the extreme gradient boosting algorithm in this work (n = 11,009 species). by Luis Javier Madrigal-Roca (17743035)

Test function evolution curve. by Minan Tang (20389941)

Description of unimodal benchmark functions. by Yi-Qiang Xia (20161326)

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Description of multimodal benchmark functions. by Yi-Qiang Xia (20161326)

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