يعرض 1 - 20 نتائج من 30 نتيجة بحث عن '(( primary data guided optimization algorithm ) OR ( binary image driven optimization algorithm ))', وقت الاستعلام: 0.32s تنقيح النتائج
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    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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    Data_Sheet_1_Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.pdf حسب Yuwen Lyu (14330781)

    منشور في 2023
    "…Objective<p>Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. …"
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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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    Datasets used for the study and their sources. حسب Peter N-jonaam Mahama (15347793)

    منشور في 2023
    "…Projecting into 2030, this study aimed at providing geographical information data for guiding future policies on siting required healthcare facilities. …"
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    Proposed method approach. 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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    LSTM model performance. 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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    Descriptive statistics. 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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    CNN-LSTM Model performance. 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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    MLP Model performance. 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 Model performance. 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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    CNN Model performance. 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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    Bi-directional LSTM Model performance. 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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    Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

    منشور في 2024
    "…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…"