يعرض 41 - 60 نتائج من 71 نتيجة بحث عن '(( algorithm machine function ) OR ((( algorithm sma function ) OR ( algorithm fa function ))))*', وقت الاستعلام: 0.12s تنقيح النتائج
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    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features حسب Muhammad Arif (769250)

    منشور في 2024
    "…After that, the optimized features are fed into single machine learning and stacking-based ensemble classifiers. …"
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    A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs حسب Alabd-Aljabar, Ahmed

    منشور في 2024
    "…Despite this, concerns about the accuracy and function of automated diagnosis remain among patients. …"
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    article
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    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory حسب Wehbi, Osama

    منشور في 2022
    "…Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …"
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    masterThesis
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    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle حسب Reza Jafari (3494018)

    منشور في 2025
    "…A tailored multi-term reward function is structured to penalize excessive yaw rate error, sideslip angle, tire slip deviations beyond peak grip regions, and power losses based on a realistic electric machine efficiency map. …"
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    LNCRI: Long Non-Coding RNA Identifier in Multiple Species حسب Saleh Musleh (15279190)

    منشور في 2021
    "…We applied the SHAP algorithm to demonstrate the importance of most dominating features that were leveraged in the model. …"
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    A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems حسب Abido, M.A.

    منشور في 1998
    "…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
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    article
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