Optimality of the algorithm (REA). حسب Wuyang Yu (1644781)

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Robustness test results of distribution system in province A of China. حسب Qingbo Tu (22641033)

Flowchart of the algorithm (REA). حسب Wuyang Yu (1644781)

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Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

Comparison of algorithm efficiency for solving (GCKP) (time unit: Second). حسب Wuyang Yu (1644781)

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Image_1_Identification of a Novel Prognostic Signature for Gastric Cancer Based on Multiple Level Integration and Global Network Optimization.TIF حسب Lin Cui (163750)

"…To mine for novel prognostic signatures associated with GC, we performed topological analysis, a random walk with restart algorithm, in the GCsLMM from three levels, miRNA-, mRNA-, and lncRNA-levels. …"

Optimal fitting model of acoustic pressure-rock physics parameters. حسب Wei Jiang (14986)

Model robustness testing results. حسب Shaowei Sun (13392160)

"…Current traffic monitoring systems often rely on single data sources, which limits their detection accuracy and robustness in complex environments. To address these limitations, we propose a framework based on multimodal deep fusion and heterogeneous graph neural networks (HGNNs), incorporating an Ensemble Contrastive Pessimistic Likelihood Estimation (CPLE) algorithm to optimize performance. …"

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

The location scheme for different <i>G</i> (<i>R</i>_<i>c</i> = 40, <i>R</i>_<i>q</i> = 80, <i>δ</i> = 100, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0... حسب Wuyang Yu (1644781)

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The relationship between market share and <i>R</i>_<i>q</i> (<i>R</i>_<i>c</i> = 40, <i>δ</i> = 100, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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The relationship between market share and <i>R</i>_<i>c</i> (<i>R</i>_<i>q</i> = 80, <i>δ</i> = 100, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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Location scheme of the new entrant (<i>γ</i>₁ = 0.9, <i>γ</i>₂ = 1). حسب Wuyang Yu (1644781)

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The relationship between market share and <i>δ</i> (<i>R</i>_<i>q</i> = 80, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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The location scheme for different <i>δ</i> (<i>R</i>_<i>c</i> = 40, <i>R</i>_<i>q</i> = 80, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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Patronage pattern from the perspective of facility. حسب Wuyang Yu (1644781)

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The relationship between market share and <i>δ</i> (<i>R</i>_<i>c</i> = 40, <i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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Location scheme of the new entrant (<i>γ</i>₁ = 0.4, <i>γ</i>₂ = 0.6). حسب Wuyang Yu (1644781)

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Performance comparison of (REA) and (RDOA-D). حسب Wuyang Yu (1644781)

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Patronage pattern from the perspective of customer. حسب Wuyang Yu (1644781)

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