Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

“…Additionally, we utilized two previously established machine learning-based algorithms, one representing AD-like brain activity (Machine learning-based AD Designation [MAD]) and the other focused on AD-like brain structural changes (AD-like Brain Structure [ABS]). …”

Comparison of different algorithms. by Jiandong Qiu (20389944)

Membership function of error E1 for tank 1. by Tamiru Demelash Kassie (20678515)

Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

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)

Comparison of different algorithms. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

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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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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Computational Pipeline for Accelerating the Design of Glycomimetics by Yao Xiao (227567)

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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. …”