Showing 1 - 20 results of 20 for search '(((( element method algorithm ) OR ( element multi algorithm ))) OR ( data using algorithm ))~', query time: 0.40s Refine Results
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    Pareto optimal front result of MOCOA. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Confusion matrix. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Action potential of sample points in model 1. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Performance validation on the MIT-BIH database. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Performance comparison with other papers. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Action potential of sample points in model 2. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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    Action potential of sample points in model 0. by Hang Zhao (143592)

    Published 2025
    “…Two types of arrhythmia characterized by significant anomalies in the variables of the HH model were simulated, and corresponding synthetic ECG signals were generated. A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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