Effect of increasing true dimensionality on dimensionality estimates. by Ege Altan (11768156)

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Three images of fingerprint patterns. by Bingbing Li (461702)

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Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Comparison of startup performance of three strategies under the same load disturbance. by Haoran Cui (7235234)

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Partial experimental speed waveform results under sudden load increase of three systems. by Haoran Cui (7235234)

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Test functions. by Kejia Liu (5699651)

“…DGEP produced the optimal results for 8 benchmark functions that produced 15.7% better R² scores along with 2.3 × larger population diversity. …”

Three-dimensional function image for testing algorithm performance. by Jianpeng Zhang (528185)

“…<p>Three-dimensional function image for testing algorithm performance.…”

Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

“…<p>Average function evaluation times of the three optimization algorithms.…”

Peak SLL and null depths for experiment 3. by WanRu Zhao (18980374)

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Comprehensive performance effects of three control systems under sudden load and sudden load reduction conditions. by Haoran Cui (7235234)

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Estimation of leukocyte fraction in inflamed tissues by an algorithm using leukocyte-specific DNA methylation. by Kazuhiro Nishiyama (16841456)

Multimodal reference functions. by Ruiyu Zhan (21602031)

“…-led initiative conducting in-depth molecular research to elucidate the causative mechanisms of cancer — this study focuses on three specific cancer types within the dataset: lung, breast, and esophageal cancers. …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction by Yisheng Huang (152457)

“…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …”

Convergence curves of three algorithms under different test functions. by Jianpeng Zhang (528185)

“…<p>Convergence curves of three algorithms under different test functions.</p>…”

PR curves of three algorithms under different test functions. by Jianpeng Zhang (528185)

“…<p>PR curves of three algorithms under different test functions.</p>…”

Algorithm for generating virtual patients. by Adrianne L. Jenner (11133854)

“…<b>2)</b> The model evaluated is then simulated on this parameter set to obtain <i>y</i>(<i>t</i>, <i>p</i>). <b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …”

Comparison results of local Q-axis command current of ASMC and SMC systems under sudden load increase and anti-interference of three systems. by Haoran Cui (7235234)

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The convergence curves of the test functions. by Ruiyu Zhan (21602031)

“…-led initiative conducting in-depth molecular research to elucidate the causative mechanisms of cancer — this study focuses on three specific cancer types within the dataset: lung, breast, and esophageal cancers. …”