Search alternatives:
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
data resource » data resources (Expand Search), data source (Expand Search), water resource (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based whole » used whole (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
resource optimization » resource utilization (Expand Search), resource utilisation (Expand Search), resource limitations (Expand Search)
whole optimization » whale optimization (Expand Search), wolf optimization (Expand Search), dose optimization (Expand Search)
data resource » data resources (Expand Search), data source (Expand Search), water resource (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based whole » used whole (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
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Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.
Published 2023Subjects: -
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Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.
Published 2023Subjects: -
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Pareto-optimized solution set under essential maintenance strategy at 2-inspection maintenance.
Published 2023Subjects: -
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Pareto-optimized solution set under preventive maintenance strategy at 1-inspection maintenance.
Published 2023Subjects: -
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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. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”
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