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

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

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Exponent in memory kernel and intensity function. حسب Mariko I. Ito (5007323)

Comparison of average precision means of different algorithms. حسب Haisong Xu (141729)

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

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The control algorithm of MPC for SSI. حسب Ahmed Abdelaleem (19066115)

Controlling parameter values of the tested algorithms. حسب WanRu Zhao (18980374)

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

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

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

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

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

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Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and . حسب Justin Zobel (241587)

"…<p>Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and .…"

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

Comparative fraction of risk indexes. حسب Phuwadol Viroonluecha (13783106)

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Insulin response time for each patient. حسب Phuwadol Viroonluecha (13783106)

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Principal components of the computer simulation environment. حسب Phuwadol Viroonluecha (13783106)

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Summary of initial evaluation. حسب Phuwadol Viroonluecha (13783106)

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Comparative fraction of time spent in different glycemic states. حسب Phuwadol Viroonluecha (13783106)

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Fraction of completed 10-day evaluation reached for each method and group. حسب Phuwadol Viroonluecha (13783106)

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