يعرض 1 - 20 نتائج من 37 نتيجة بحث عن 'multiple causes optimization algorithms', وقت الاستعلام: 0.23s تنقيح النتائج
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    Normalized convergence time. حسب Song Qian (5031221)

    منشور في 2025
    "…The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …"
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    VGR structure. حسب Song Qian (5031221)

    منشور في 2025
    "…The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …"
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    Comparison of normalized throughput and load. حسب Song Qian (5031221)

    منشور في 2025
    "…The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …"
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    Principle of transfer learning. حسب Song Qian (5031221)

    منشور في 2025
    "…The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …"
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    Body-connected routing scenario. حسب Song Qian (5031221)

    منشور في 2025
    "…The traditional artificial intelligence routing algorithm cannot deal with the low model prediction accuracy and poor generalization ability caused by large noise and small data volume. …"
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    Block structure location in the Yueman area. حسب Chen Ma (714759)

    منشور في 2025
    "…Seismic attributes that were sensitive to different types of strike-slip faults were selected, and multiple attributes were merged to obtain a fracture distribution map using the best surface voting algorithm. …"
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    Supplementary file 1_Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM.docx حسب Mahmoud Murhej (21676118)

    منشور في 2025
    "…Then, by utilizing Spherical Principal Component Analysis (SPCA), the features are extracted. Further, the optimal features are chosen by using the Cauchy distribution-based Seagull Optimization Algorithm (CSOA). …"
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    Image 1_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.tif حسب Chuanyu Ma (6701108)

    منشور في 2025
    "…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …"
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    Image 8_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.png حسب Chuanyu Ma (6701108)

    منشور في 2025
    "…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …"
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    Table 1_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.xlsx حسب Chuanyu Ma (6701108)

    منشور في 2025
    "…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …"