Showing 1 - 20 results of 11,463 for search '(( significant agent based ) OR ( significant ((teer decrease) OR (linear decrease)) ))', query time: 0.70s Refine Results
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    Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

    Published 2025
    “…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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    Network architectures for multi-agents task. by Hongjie Zhang (136127)

    Published 2025
    “…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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    Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

    Published 2025
    “…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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    Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

    Published 2025
    “…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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    Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

    Published 2025
    “…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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    Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

    Published 2024
    “…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm<sup>2</sup>; ALI: 7.73 kΩ*cm<sup>2</sup>; p<0.05) and day 25 (SMC: 8.19 kΩ*cm<sup>2</sup>; ALI: 6.44 kΩ*cm<sup>2</sup>; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”
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    Identification of significant genes and therapeutic agents for breast cancer by integrated genomics by Xiao Sun (72808)

    Published 2021
    “…Connectivity map analysis was used to identify small-molecule compounds that are potential therapeutic agents for breast cancer. We identified 10 significant genes in breast cancer based on the gene expression profile and genome-wide association study. …”