The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

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ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

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CNN’s optimal hyperparameters utilizing the APSO-WOA-CNN algorithm. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ accuracy training sets. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and FNN algorithms’ accuracy validation sets. by Ahmed Bahaa (12887063)

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The “Bubblepole” (BUPO) Method for Linear-Scaling Coulomb Matrix Construction with or without Density Fitting by Frank Neese (736441)

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Evaluation information for eight different denoising algorithms. by Wuyi Li (2984439)

Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Idea of the search for a domain/motif within the range from 1 to W positions (in the window) instead of an only predetermined position. by Alexander V. Spirov (11302085)

APSO–CNN algorithm’s minimal fitness values modified over iterations. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and APSO–CNN algorithms’ accuracy training sets. by Ahmed Bahaa (12887063)

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APSO–WOA–CNN and APSO–CNN algorithms’ accuracy validation sets. by Ahmed Bahaa (12887063)

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Comparison of the WHO and IERWHO algorithms improvement points. by WanRu Zhao (18980374)

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The <i>min</i> obtained by DSRABSQL, S2V-DQN and 2-opt-DRL algorithms for 25 instances. by Jin Zhang (53297)

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 antic... by John E. Fleming (8533956)

The SSIM for the different algorithms. by Bingbing Li (461702)

“…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …”

Average running time line graph of different algorithms. by Wuyi Li (2984439)

LF and SP optimum values using the PSOGSAHO algorithm. by Nada Ahmed Ezz-Eldien (17396553)

Subjects: “…gravitational search algorithm…”