Search alternatives:
required optimization » resource optimization (Expand Search), feature optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
data required » data acquired (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary wave » binary image (Expand Search)
wave guided » wire guided (Expand Search), image guided (Expand Search), curve guided (Expand Search)
required optimization » resource optimization (Expand Search), feature optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
data required » data acquired (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary wave » binary image (Expand Search)
wave guided » wire guided (Expand Search), image guided (Expand Search), curve guided (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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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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Medium-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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Large-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
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