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model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
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Showing 141 - 160 results of 400 for search '(( binary data process optimization algorithm ) OR ( primary data model optimization algorithm ))*', query time: 0.63s Refine Results
  1. 141
    Most important predictive features.

    Most important predictive features. by Nicola Lazzarini (3528197)

    Published 2022
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  2. 142
    Age feature importance.

    Age feature importance. by Nicola Lazzarini (3528197)

    Published 2022
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  3. 143
    Machine learning vs. clinicians.

    Machine learning vs. clinicians. by Nicola Lazzarini (3528197)

    Published 2022
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  4. 144
    ROC curves.

    ROC curves. by Nicola Lazzarini (3528197)

    Published 2022
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  5. 145
    PR curves.

    PR curves. by Nicola Lazzarini (3528197)

    Published 2022
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  6. 146
    Overview of the cohort definition process.

    Overview of the cohort definition process. by Nicola Lazzarini (3528197)

    Published 2022
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  7. 147
    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System between April 5, 2022, and August 1, 2022.

    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System be... by Srilekha Sridhara (15374444)

    Published 2023
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  8. 148
    LSTM model performance.

    LSTM model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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  9. 149
    MLP Model performance.

    MLP Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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  10. 150
    RNN Model performance.

    RNN Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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  11. 151
    CNN Model performance.

    CNN Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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  12. 152
    Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf

    Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

    Published 2024
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  13. 153
    Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx

    Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx by Xinping Lin (1591438)

    Published 2021
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  14. 154
    Data used to drive the Double Layer Carbon Model in the Qinling Mountains.

    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

    Published 2024
    “…The DLCM defines four soil carbon pools, categorized based on their location within the soil profile and their decomposition rates. The model divides the soil profile into topsoil (0-20 cm) and subsoil (20–100 cm) layers to match the SOC maps of the corresponding two layers generated by data-driven models. …”
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  15. 155
    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf

    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf by Wen Cao (696121)

    Published 2022
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  16. 156
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  17. 157
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  18. 158
    Routing policy based on path satisfaction.

    Routing policy based on path satisfaction. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  19. 159
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  20. 160
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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