The flowchart of Algorithm 2. by Jing Xu (15337)

“…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …”

Algorithm flow chart. by Zhiqiang Chen (218692)

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Framework of the multilabel classification algorithm. by Zhiqiang Chen (218692)

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The final delivery plan of <i>r</i>₁ and <i>r</i>₂. by Yanju Zhang (437336)

Experimental comparisons of single category indexes under different algorithms. by Zhiqiang Chen (218692)

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Comparison of annotation precision for single category labels using different algorithms. by Zhiqiang Chen (218692)

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

Train stopping plan. by Jing Xu (15337)

“…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …”

Major notations. by Jing Xu (15337)

“…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …”

S1 File - by Jing Xu (15337)

“…For the former, it is further divided into two sub-problems according to the stochastic nature of passenger no-show behavior, which is optimized iteratively. Finally, the effectiveness of the proposed model and algorithm is evaluated through numerical studies. …”

Parameters of joint significance test. by Yixuan Lu (9987980)

Solution results of different algorithms. by Meilin Zhu (688698)

“…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”

Diagnostic accuracy of different models. by Jizhong Wang (7441697)

“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”

Multi-model fault diagnosis results. by Jizhong Wang (7441697)

“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”

Comparison of the annotation performance with and without the SE module. by Zhiqiang Chen (218692)

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Comparison of image annotation methods in various experiments. by Zhiqiang Chen (218692)

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Experimental results for different K values. by Zhiqiang Chen (218692)

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SE module. by Zhiqiang Chen (218692)

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Corel5k test set label frequencies. by Zhiqiang Chen (218692)

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Experimental comparison of various automatic image-labeling methods. by Zhiqiang Chen (218692)

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