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Showing 1 - 20 results of 65 for search '(( lines based property optimization algorithm ) OR ( binary based wolf optimization algorithm ))', query time: 1.03s Refine Results
  1. 1
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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  2. 2
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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  3. 3
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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  4. 4
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  5. 5
    Algorithm for generating hyperparameter.

    Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  6. 6
    Results of machine learning algorithm.

    Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  7. 7
    ROC comparison of machine learning algorithm.

    ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  8. 8
    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions.

    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

    Published 2024
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  9. 9
    The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions.

    The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

    Published 2024
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  10. 10
    Best optimizer results of Lightbgm.

    Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  11. 11
    Best optimizer results of Adaboost.

    Best optimizer results of Adaboost. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  12. 12
    Best optimizer results of Lightbgm.

    Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  13. 13
    Random forest with hyperparameter optimization.

    Random forest with hyperparameter optimization. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  14. 14
    Best optimizer results of KNN.

    Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  15. 15
    Best optimizer results of KNN.

    Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  16. 16
    Performance on GradEva.

    Performance on GradEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  17. 17
    The considered test problems.

    The considered test problems. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  18. 18
    Performance on FunEva.

    Performance on FunEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  19. 19
    Performance on Iter.

    Performance on Iter. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  20. 20
    Continuation of Table 2.

    Continuation of Table 2. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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