Search alternatives:
learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
task learning » based learning (Expand Search)
ciliary case » ciliary base (Expand Search)
binary task » binary mask (Expand Search)
learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
task learning » based learning (Expand Search)
ciliary case » ciliary base (Expand Search)
binary task » binary mask (Expand Search)
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CDF of task latency, approximated as the inverse of the achieved computation rate.
Published 2025Subjects: -
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The Pseudo-Code of the IRBMO Algorithm.
Published 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.
Published 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.
Published 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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Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
Published 2025Subjects: -
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
Published 2025Subjects: -
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