يعرض 1 - 20 نتائج من 59 نتيجة بحث عن '(( binary task design optimization algorithm ) OR ( lines based property optimization algorithm ))', وقت الاستعلام: 0.73s تنقيح النتائج
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    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

    منشور في 2020
    "…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

    منشور في 2020
    "…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

    منشور في 2020
    "…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …"
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    Proposed Algorithm. حسب Hend Bayoumi (22693738)

    منشور في 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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    The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

    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. …"
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    Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

    منشور في 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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    IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

    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. …"
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    IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

    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. …"
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    Performance on GradEva. حسب Jamilu Yahaya (18563445)

    منشور في 2024
    "…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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    The considered test problems. حسب Jamilu Yahaya (18563445)

    منشور في 2024
    "…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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    Performance on FunEva. حسب Jamilu Yahaya (18563445)

    منشور في 2024
    "…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"