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Showing 1 - 20 results of 3,359 for search '(( module based decrease ) OR ( a ((marked decrease) OR (larger decrease)) ))', query time: 0.51s Refine Results
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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    MGPC module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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    DTADH module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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    MFDPN module. by Bo Tong (2138632)

    Published 2025
    “…To address this issue, this paper proposes an improved model based on YOLOv8n.By enriching feature diversity and enhancing the model’s adaptability to geometric transformations, the detection accuracy is improved.A Multi-Scale Group Convolution Module (MSGP) was designed to extract multi-level features using different convolution kernels. …”
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    A proposed model for the role of C1-FDX in the assembly of CI and CV. by Baoyin Chen (2635399)

    Published 2024
    “…The downward blue arrows indicate a decrease in abundance. The black dotted frame indicates the putative assembly factors. …”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”