بدائل البحث:
process optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
key process » key proteins (توسيع البحث)
task based » risk based (توسيع البحث)
lines key » nine key (توسيع البحث), lines e (توسيع البحث)
process optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary task » binary mask (توسيع البحث)
key process » key proteins (توسيع البحث)
task based » risk based (توسيع البحث)
lines key » nine key (توسيع البحث), lines e (توسيع البحث)
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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Algorithm parameter settings.
منشور في 2025"…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …"
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Integrated algorithmic framework.
منشور في 2025"…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …"
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The pseudo code of HIP algorithm.
منشور في 2025"…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …"
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The pseudo code of local branching algorithm.
منشور في 2025"…Key algorithmic accelerators comprise a Heuristic Infeasibility Proof (HIP) for rapid solution screening and Enhanced Benders Cuts (EBC) derived from infeasibility analysis, both integrated with integrated with Local Branching. …"
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An Example of a WPT-MEC Network.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Related Work Summary.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Simulation parameters.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Training losses for N = 10.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"