بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
binary edge » binary image (توسيع البحث)
edge policy » sdgs policy (توسيع البحث), media policy (توسيع البحث), leave policy (توسيع البحث)
binary its » binary pairs (توسيع البحث)
its guided » ct guided (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
binary edge » binary image (توسيع البحث)
edge policy » sdgs policy (توسيع البحث), media policy (توسيع البحث), leave policy (توسيع البحث)
binary its » binary pairs (توسيع البحث)
its guided » ct guided (توسيع البحث)
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Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
منشور في 2025الموضوعات: -
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CDF of task latency, approximated as the inverse of the achieved computation rate.
منشور في 2025الموضوعات: -
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Pseudo Code of RBMO.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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P-value on CEC-2017(Dim = 30).
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Memory storage behavior.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"