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feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
task feature » based feature (Expand Search), each feature (Expand Search), a feature (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
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Showing 101 - 120 results of 331 for search '(( binary task feature optimization algorithm ) OR ( primary data model optimization algorithm ))', query time: 0.64s Refine Results
  1. 101
    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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  2. 102
    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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  3. 103
    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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  4. 104
    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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  5. 105
    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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  6. 106
    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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  7. 107
    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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  8. 108
    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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  9. 109
    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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  10. 110
    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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  11. 111
    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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  12. 112
    Proposed model tuned hyperparameters.

    Proposed model tuned hyperparameters. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  13. 113
    Proposed model sensitivity outcome.

    Proposed model sensitivity outcome. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  14. 114
    CNN-LSTM Model performance.

    CNN-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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  15. 115
    Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf

    Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf by Jordan D. Chambers (6732224)

    Published 2019
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  16. 116
    Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF

    Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF by Jordan D. Chambers (6732224)

    Published 2019
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  17. 117
    Data_Sheet_3_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF

    Data_Sheet_3_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF by Jordan D. Chambers (6732224)

    Published 2019
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  18. 118
    Proposed model specificity and DSC outcomes.

    Proposed model specificity and DSC outcomes. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  19. 119
    Accuracy comparison of proposed and other models.

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  20. 120
    Bi-directional LSTM Model performance.

    Bi-directional 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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