يعرض 1 - 20 نتائج من 10,192 نتيجة بحث عن '(((( develop ml algorithms ) OR ( element method algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.60s تنقيح النتائج
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    Ranking of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

    منشور في 2025
    "…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …"
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    The overview of the ML algorithms’ flowchart. حسب Yasemin Ayaz Atalan (21989402)

    منشور في 2025
    "…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …"
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    Proposed hybrid GA- ML algorithms. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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    Proposed GA-ML algorithms pseudocode. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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    Variables tested in the ML algorithms. حسب Gilson Yuuji Shimizu (19837946)

    منشور في 2024
    "…Data from Beth Israel Deaconess Medical Center (BIDMC), USA, were used for external validation. …"
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    G R code algorithm. حسب R. Sakthivel (2589547)

    منشور في 2024
    "…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"
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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

    منشور في 2025
    "…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …"
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    Performance metrics of GA-ML models. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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    AUROC curve of default ML classifiers. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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