يعرض 1 - 20 نتائج من 11,708 نتيجة بحث عن '(( data learning algorithm ) OR ((( develop _ algorithm ) OR ( element data algorithm ))))', وقت الاستعلام: 0.42s تنقيح النتائج
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    Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

    منشور في 2024
    "…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…"
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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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    Evaluation of model aggregation algorithms. حسب JiaMing Wang (334865)

    منشور في 2024
    "…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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    Comparison of homomorphic encryption algorithms. حسب JiaMing Wang (334865)

    منشور في 2024
    "…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …"
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    Development of the CO<sub>2</sub> Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms حسب Hossein Mashhadimoslem (11456548)

    منشور في 2024
    "…Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO<sub>2</sub> adsorption performance as a function of characteristics and adsorption isotherm parameters. …"
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