يعرض 61 - 80 نتائج من 345 نتيجة بحث عن '(( primary data based optimization algorithm ) OR ( binary b process optimization algorithm ))', وقت الاستعلام: 0.56s تنقيح النتائج
  1. 61

    Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

    منشور في 2022
    "…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"
  2. 62

    Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

    منشور في 2022
    "…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"
  3. 63

    Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

    منشور في 2022
    "…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"
  4. 64

    Image processing workflow. حسب Denis Tamiev (7404980)

    منشور في 2020
    "…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"
  5. 65

    Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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