CEC2017 test function test results. by Tengfei Ma (597633)

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Run times of two algorithms. by Gourab Saha (8987405)

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F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

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Detail of benchmark functions comparison. by Jalal- ud-Din (21474307)

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Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm. by John E. Fleming (8533956)

“…<p>The performance of a scheduler (green line), the TV-BayesOpt with a periodic temporal covariance function (purple line) and the TV-BayesOpt with a periodic and smooth forgetting covariance algorithm were estimated by calculating the AUC value for the associated cumulative regret plot for each implementation at different offset in the true temporal period.…”

Hyperparameter settings of the algorithm 1. by Jin Xu (31283)

“…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …”

Results of the SNMR kernel functions for different typical geological models. by Hanbo Chen (722038)

Performances of different clustering algorithms. by Siji Chen (14883420)

“…However, subject to high mobility, dynamic topology, and limited energy of FANETs, maintaining stable communication performance is a challenging task. As a potential solution, the clustering routing algorithm divides the entire network into multiple clusters to achieve strong network performance. …”

Iteration curves of different algorithms. by Tengfei Ma (597633)

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Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

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Phosphorylation-specific motifs identified by the Motif-X algorithm. by Xiaoxiao Qin (9247765)

Algorithm flowchart. by Wang Xiang (5435141)

“…After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. …”

Parameters of the proposed algorithm. by Heba Askr (15572851)

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Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”