يعرض 1 - 20 نتائج من 25 نتيجة بحث عن '(( binary state driven optimization algorithm ) OR ( primary data step optimization algorithm ))*', وقت الاستعلام: 0.43s تنقيح النتائج
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    Dendrogram of the stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    Descriptive statistics on stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    Correlation heatmap of the principal components. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    SBM 2023 Poster: Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study حسب Junghwan Park (15195436)

    منشور في 2023
    "…</p> <p><strong>Objectives: </strong>To develop and validate algorithms that predict walking (i.e., >5 minutes) within the next 3 hours, predicted from the participants’ previous five weeks’ steps per minute data.…"
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    Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX حسب Paul Grzesik (11136582)

    منشور في 2021
    "…Here we present the implementation of a machine learning pipeline into the DoE-based design of cell culture media to optimize T cell cultures in one experimental step (one-time optimization). …"
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    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png حسب Minjin Guo (22751300)

    منشور في 2025
    "…CardioSpectra formulates athlete profiles as multivariate probabilistic entities across latent diagnostic states, using sparsity-aware inference to generate interpretable risk predictions while optimizing a sensitivity-specificity trade-off tailored to clinical priorities. …"
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    Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE حسب Subhashree Mohapatra (17387852)

    منشور في 2025
    "…The proposed framework leverages a strong categorical boosting (CatBoost) algorithm optimized using Grid Search Optimization (GSO). …"
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    Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

    منشور في 2019
    "…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"