Search alternatives:
utilization algorithm » initialization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
service utilization » resource utilization (Expand Search)
based optimization » whale optimization (Expand Search)
also service » also serving (Expand Search), a service (Expand Search), aids service (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
utilization algorithm » initialization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
service utilization » resource utilization (Expand Search)
based optimization » whale optimization (Expand Search)
also service » also serving (Expand Search), a service (Expand Search), aids service (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
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Accuracy Results from Random Forest and Binary Logistic Regression Models by Data Types.
Published 2025Subjects: -
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Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Comparisons between ADAM and NADAM optimizers.
Published 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.
Published 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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Characteristics of Participant by the ease of using the telehealth system “Effort Expectancy”.
Published 2025Subjects: -
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IRBMO vs. meta-heuristic algorithms boxplot.
Published 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.
Published 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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An Example of a WPT-MEC Network.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Related Work Summary.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Simulation parameters.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Training losses for N = 10.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”