يعرض 1 - 20 نتائج من 20 نتيجة بحث عن '(( binary health based optimization algorithm ) OR ( binary same based optimization algorithm ))', وقت الاستعلام: 1.10s تنقيح النتائج
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    SHAP bar plot. حسب Meng Cao (105914)

    منشور في 2025
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    ROC curves for the test set of four models. حسب Meng Cao (105914)

    منشور في 2025
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    Display of the web prediction interface. حسب Meng Cao (105914)

    منشور في 2025
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    Sample screening flowchart. حسب Meng Cao (105914)

    منشور في 2025
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    Descriptive statistics for variables. حسب Meng Cao (105914)

    منشور في 2025
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    SHAP summary plot. حسب Meng Cao (105914)

    منشور في 2025
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    Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity حسب George S. Watts (7962206)

    منشور في 2019
    "…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …"
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    Data_Sheet_1_Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.ZIP حسب Xiaofeng Wang (119575)

    منشور في 2021
    "…We collected the 32 factors of 5,108 Chinese medical workers through questionnaire survey, and the results of Self-reporting Inventory was applied to characterize mental health. In this study, we propose a novel prediction model based on optimization algorithm and neural network, which can select and rank the most important factors that affect mental health of medical workers. …"
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    Fig 12 - حسب Nisha Yadav (366131)

    منشور في 2024
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    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf حسب Cecilia Lindig-León (7889777)

    منشور في 2020
    "…Here, we propose a solution to address the limitation of identifiable motor activities by using combined MIs (i.e., MIs involving 2 or more body parts at the same time). And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"
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