GenSearch algorithm. by Tarun Khajuria (12117309)

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Running time in the PPO process. by Yunhu Huang (21402795)

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Path length and planning time of map planning with different complexity. by Zhenggang Wang (1753657)

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Rendering time diagram. by Yuliang Yuan (4478698)

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EELD load dispatch results for different algorithms without considering VPE. by Wenjing Wang (181404)

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Performance of algorithms compared to a smaller <i>RNN.</i> by Swathi Anil (17382903)

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Synthesized time-varying signal S-transform results. by Li Jiashen (20552690)

Parameters of the genetic algorithm. by Jian Ma (170138)

Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

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Multi-algorithm comparison figure. by Dawei Wang (471687)

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Comparison of performance with different trip time. by Yunhu Huang (21402795)

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Results comparison of different algorithms for dealing with EELD’s total objective function when VPE is considered. by Wenjing Wang (181404)

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Time cost comparison. by Xianlin Ren (22783589)

“…This research initially proposes an adaptive variational mode decomposition approach based on dung beetle optimization algorithm to decompose and extract signals. At the same time, a composite optimization indicator function based on Tanimoto coefficient, permutation entropy and kurtosis are presented as the fitness function of decomposition to increase the flexibility and robustness of the technique. …”

Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes. by Wenjun Zhao (644283)

“…<p>Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes.…”

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

Subjects: “…organizing migrating algorithm…”

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

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Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

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PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

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