بدائل البحث:
codon optimization » wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
binary task » binary mask (توسيع البحث)
task based » risk based (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
binary task » binary mask (توسيع البحث)
task based » risk based (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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Table5_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Image2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Table1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Image1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Image3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Table3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Table4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Table2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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Image4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG
منشور في 2023"…For instance, generated S<sub>ij</sub> weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"
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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. …"
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Normalized computation rate for N = 10.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"