يعرض 101 - 120 نتائج من 11,140 نتيجة بحث عن '(((( data using algorithm ) OR ( data processing algorithm ))) OR ( agent learning algorithm ))', وقت الاستعلام: 0.66s تنقيح النتائج
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    Data Sheet 1_MACRPO: Multi-agent cooperative recurrent policy optimization.pdf حسب Eshagh Kargar (20458304)

    منشور في 2024
    "…<p>This work considers the problem of learning cooperative policies in multi-agent settings with partially observable and non-stationary environments without a communication channel. …"
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    One dimensional max pooling process. حسب Yu Jie Guang (22184340)

    منشور في 2025
    الموضوعات:
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    MAPR of GPT compared with optimal algorithm. حسب Ali Abir Shuvro (21982871)

    منشور في 2025
    "…The experiment also concludes that some variants of the large language models currently in use are not suitable for numerical and structural data without fine-tuning their parameters.…"
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    Errors from the LLM and simulated algorithms. حسب Ali Abir Shuvro (21982871)

    منشور في 2025
    "…The experiment also concludes that some variants of the large language models currently in use are not suitable for numerical and structural data without fine-tuning their parameters.…"
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    Proposed hybrid GA- ML algorithms. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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    Proposed GA-ML algorithms pseudocode. حسب Ankur Kumar (1357440)

    منشور في 2025
    الموضوعات:
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    Flowchart of algorithm principles. حسب Wenjuan Zhou (115285)

    منشور في 2025
    "…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …"
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    Code and data. حسب Shangyang Jin (21772466)

    منشور في 2025
    الموضوعات:
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    Parameters of NSGA-II algorithm. حسب Shangyang Jin (21772466)

    منشور في 2025
    الموضوعات:
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    Data_and_model_files. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"