يعرض 1 - 20 نتائج من 3,562 نتيجة بحث عن '(((( complement _ algorithm ) OR ( experiments pso algorithm ))) OR ( level using algorithm ))', وقت الاستعلام: 0.56s تنقيح النتائج
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    PSO and GA hyperparameters. حسب Yegor Bugayenko (15194643)

    منشور في 2024
    "…These subsets gave us low values of Sammon error at more than 70% at class and method levels on a validation dataset.</p></div>…"
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    Results of the PSNR measure for all algorithms. حسب Jiaqi Ma (773451)

    منشور في 2024
    "…According to the segmentation experimental results, thresholds optimized by CIWP-PSO could achieve higher Kapur entropy, and the multi-level thresholding segmentation algorithm based on CIWP-PSO outperforms the similar algorithms in high-bit depth image segmentation. …"
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    Results of the FSIM measure for all algorithms. حسب Jiaqi Ma (773451)

    منشور في 2024
    "…According to the segmentation experimental results, thresholds optimized by CIWP-PSO could achieve higher Kapur entropy, and the multi-level thresholding segmentation algorithm based on CIWP-PSO outperforms the similar algorithms in high-bit depth image segmentation. …"
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    Results of the SSIM measure for all algorithms. حسب Jiaqi Ma (773451)

    منشور في 2024
    "…According to the segmentation experimental results, thresholds optimized by CIWP-PSO could achieve higher Kapur entropy, and the multi-level thresholding segmentation algorithm based on CIWP-PSO outperforms the similar algorithms in high-bit depth image segmentation. …"
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    Sanitized databases using MLHProtector algorithm. حسب Loan T. T. Nguyen (20660789)

    منشور في 2025
    "…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …"
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    The GA iteration result. حسب Jiaqing Huang (5018492)

    منشور في 2025
    "…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …"
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    GA crossover and mutation process. حسب Jiaqing Huang (5018492)

    منشور في 2025
    "…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …"
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    The framework for the proposed model and GA-FNN. حسب Jiaqing Huang (5018492)

    منشور في 2025
    "…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …"
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    The structure for the FNN. حسب Jiaqing Huang (5018492)

    منشور في 2025
    "…Results show that GA-FNN achieves an average classification accuracy of approximately 90% across high, medium, and low risk levels, outperforming traditional methods such as logistic regression, SVM (Support Vector Machine), and other metaheuristics like PSO (Particle Swarm Optimization) and SA (Simulated Algorithm). …"
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