Reward function related parameters. by Honglei Pang (22693724)

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The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Source code for DDQR and GeCo3 compression rate calculation. by Yujun Wang (1947196)

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The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

Source code for GeCo3 compression rate calculation using simulated data. by Yujun Wang (1947196)

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Source code for GeCo3 compression rate calculation using real data. by Yujun Wang (1947196)

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Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

Co-simulation architecture. by Honglei Pang (22693724)

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Comparison of compression rates of DDQR and Geco3 using simulated data around the region where the performance of DDQR exceeds that of GeCo3. by Yujun Wang (1947196)

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Probability density of the cumulative number <i>C</i> of infections for different system sizes <i>N</i> at their critical vaccination doses with the random vaccination strategy as... by Yannick Feld (16520678)

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Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications by He Peng (6377654)

“…In this study, we developed a Component Overlapping Attribute Clustering (COAC) algorithm to perform the localized (cell subpopulation) gene co-expression network analysis from large-scale scRNA-seq profiles. …”

Rate functions Φ(<i>C</i>) for the random vaccination heuristics for different system sizes <i>N</i> at their respective critical vaccination. by Yannick Feld (16520678)

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Multimodal reference functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”

Affiliation function of unwinding tension deviation bias <i>e</i>. by Yanjun Xiao (1993411)

Affiliation function of polar slice correction bias <i>e</i>. by Yanjun Xiao (1993411)

Compression rate of DDQR using real data. by Yujun Wang (1947196)

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Test functions. by Kejia Liu (5699651)

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The convergence curves of the test functions. by Ruiyu Zhan (21602031)

“…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”