يعرض 1 - 20 نتائج من 207 نتيجة بحث عن '(((( implementing cnn algorithm ) OR ( element mesh algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.60s تنقيح النتائج
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    The genome coding scheme. حسب Wenbing Shi (5806160)

    منشور في 2025
    الموضوعات:
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    Multi-material topology optimization using scaled boundary finite element method حسب Mohammed Saif Zamiruddin Siddiqui (22384884)

    منشور في 2025
    "…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …"
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    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

    منشور في 2024
    "…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"
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    CNN model evaluation. حسب Azhar Imran (17720751)

    منشور في 2025
    "…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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    ROC curve CNN. حسب Azhar Imran (17720751)

    منشور في 2025
    "…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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    code_4 حسب Olga Ovtsarenko (20432033)

    منشور في 2024
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    Confusion matrix evaluation of CNN. حسب Azhar Imran (17720751)

    منشور في 2025
    "…The application of the bagging XGBoost algorithm, which attained a high accuracy of 88%, further stamps its utility toward enhancement of academic performance through strong robust techniques of model aggregation. …"
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