The cost function Φ(<i>x</i>, <i>w</i>) versus the number of iterations for different Gaussian noise levels: (a) <i>σ</i> = 10⁻² and (b) <i>σ</i> = 10⁻³.... by Limin Ma (556873)

Ratio STD/mean as a function of <i>α</i> for different <i>N</i>_<i>p</i>. by Luca Maria Del Bono (20479625)

Weighted cost results of FMM in the two triangulated manifolds TM-I and TM-II as functions of resolution. by Tianjiao Wang (761650)

Performance comparison results of different algorithms. by Wenyuan Xu (2553028)

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Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Sensitivity analysis results for <i>F</i>₁ to <i>F</i>₂₃. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>F</i>₈ to <i>F</i>_13. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>F</i>₁ to <i>F</i>_7. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>f</i>₁ to <i>f</i>₄. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>F</i>₁₉ to <i>F</i>_23. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>f</i>₅ to <i>f</i>_10. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Experimental statistical results for <i>F</i>₁₄ to <i>F</i>_18. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Results on the comparison of evolutionary and greedy algorithms with exact solution. by Alexander Andreev (16822333)

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Convergence graphs of CEC2021 test functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

Table 1_Extracellular microRNAs modulate human microglial function through TLR8.docx by Hannah Weidling (14422749)

“…Using ELISA, scratch assay, and FACS, we investigated the miRNAs’ potential to modulate iMGL function, including cytokine release, motility, and phagocytosis, respectively. …”

<i>P</i>-<i>U</i> characteristics of the experimental PV solar module. by Ziad M. Ali (12516532)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Dice score for various <i>α</i> values (from the Eq 8) for the tracking of the CST and for the iFOD and PTT algorithms. by Thomas Durantel (20933812)

<i>I</i>-<i>U</i> characteristics using all investigated methods in Table 3: MSX-60 module. by Ziad M. Ali (12516532)