The Spatio-Temporal Narrative Perspective and the Emotion Regulation of a Narrator by Tibor Pólya (14307968)

Table_2_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Table_3_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.XLSX by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Table_1_Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.xlsx by Xiujuan Lei (5374532)

“…Finally, according to these low-dimensional vector representations, we calculate the relevance between each microbe and disease by utilizing a modified rule-based inference method. By comparison with three other methods including LRLSHMDA, KATZHMDA and BiRWHMDA, LGRSH performs better than others. …”

Example of position-based updating. by Fredrik Allenmark (208899)

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Example of response-based updating. by Fredrik Allenmark (208899)

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Example of color-based updating. by Fredrik Allenmark (208899)

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A proposed working model of how the GmNN1/FT2a-GmNYFA-C-GmENOD40 module regulates nodulation in soybean. by Xinxin Li (281237)

Performance comparison of ML-based models. by Md. Merajul Islam (12646837)

“…Additionally, the most significant rules are analyzed using the association mining technique to identify the influencing predictors of high risk of CVD.…”

Variation of with shear stress change rule. by Fei He (145896)

Variation of with shear stress change rule. by Fei He (145896)

C to SystemVerilog transformation rules. by Misbah Mehboob Awan (22783925)

Heatmap showing clusters based on Pearson correlation between the various return data features. by Trevor Chan (3637126)

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Time series plot of the drawdown at the <i>d</i>_<i>L</i> common optimum for all trend-following rules. by Teruko Takada (13977607)

Quantile points of negative returns at the <i>d</i>_<i>L</i> common optimum for all trend-following rules. by Teruko Takada (13977607)

Complete overview of blockchain-based oil port logistics. by Misbah Liaqat (3134061)

The logical rules learned by the first three decision trees to classify a play as a shot, for each data set. by Jonas Bischofberger (18405492)

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Model comparison for color-based updating. by Fredrik Allenmark (208899)

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Model comparison for position-based updating. by Fredrik Allenmark (208899)

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Δk_p Fuzzy control rule. by Wanjun Zhang (496858)

“…While conventional fuzzy PID control incorporates fuzzy reasoning, its offline-designed rule bases and membership functions lack online adaptive parameter correction, leading to degraded precision in complex operating conditions. …”