Mean true positive and true negative clustering rates, 50 simulations for FRECL. by Susana Conde (5495675)

Summary of optimization algorithms for coal blending in thermal power plants. by Zhongfeng Li (3965060)

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Details of the metaheuristic algorithms in comparison experiments. by Junhao Wei (6816803)

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Iterative curves of the algorithms in ablation study. by Junhao Wei (6816803)

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Current research on improved metaheuristic algorithms. by Junhao Wei (6816803)

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Iterative curves of the algorithms in comparison experiment. by Junhao Wei (6816803)

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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)

Distribution of the True Positive Rate, above, and True Negative Rate, below, for the 50 simulations from a model with <i>K</i> = 3 clusters, i.i.d. random error term. by Susana Conde (5495675)

Convergence curves of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022(dim = 30). by Qingwen Meng (156386)

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Loss function curve graphs. by Huiying Zhang (200681)

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. …”

Single-peaked 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. …”

Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of rate ratio . by Paul Kinsler (3975620)

Different mathematical formalization of model fairness. TPR: True Positive Rate; FPR: False Positive Rate; FNR: False Negative Rate; TNR: True Negative Rate; PPV: Positive Predicti... by Marine Hoche (20896647)

Improved BP network algorithm flow. by Wang Xiaoqian (10502222)

CEC2022 benchmark function experiment results(dim = 20). by Qingwen Meng (156386)

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CEC2017 benchmark function experiment results(dim = 30). by Qingwen Meng (156386)

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CEC2017 benchmark function experiment results(dim = 100). by Qingwen Meng (156386)

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AP improvement rates for various targets on the NWPU VHR-10 dataset. by Pingping Yan (462509)

Effect of video processing rate and algorithms performance on the estimation of the abundance-structure of simulated communities. by Valentine Fleuré (12822137)

“…<p>Estimation of abundance-structure as a function of video processing rate (fps, frame per second) for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors). …”