The AEs and corresponding MSEs of Rényi entropy under different censoring schemes. by Qin Gong (118801)

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The AEs and corresponding MSEs of Shannon entropy under different censoring schemes. by Qin Gong (118801)

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PC-II samples obtained using m = 7 observations. by Qin Gong (118801)

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CDF plots of GIED. by Qin Gong (118801)

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Loss curve. by Jiexiang Yang (19980594)

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Experimental results of various loss functions. by Dongshan Jiang (21866339)

“…Then, a CGBD module is proposed in the neck structure to reconstruct the ordinary convolution to improve the feature extraction ability of the model for small targets. Finally, the SIoU loss function is used to replace CIoU to accelerate the convergence of the model. …”

Results of the comparative experiment. by Jia Li (160557)

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Comparison of attention mechanisms. by Jia Li (160557)

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Results of ablation experiments. by Jia Li (160557)

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Comparison of attention mechanisms. by Jia Li (160557)

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Experimental environment configuration. by Jia Li (160557)

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Model comparison experiments. by Jia Li (160557)

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Insulator dataset data enhancement. by Jia Li (160557)

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SPDConv structure diagram. by Jia Li (160557)

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Visualisation and analysis of test results. by Jia Li (160557)

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Comparison of mAP@0.5 and mAP@0.5:0.95 curves. by Jia Li (160557)

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(a) ROAL Accuracies and (b) ROAL label requests per episode for the 1^st, 2^nd, 5^th, and 10^th instances of all classes. by Honglan Huang (341951)

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On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem by Honglan Huang (341951)

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Algorithm framework of this paper. by Xiaoqin Wu (470428)

“…The standard convolution blocks of the coding path and decoding path on the original network are improved to dense blocks, which enhances the transmission of features. The mixed loss function composed of the Binary Cross Entropy Loss function and the Tversky coefficient is used to replace the original single cross-entropy loss, which restrains the influence of irrelevant features on segmentation accuracy. …”

Optimum solutions and tuning of the dependent variables for various cases based on the PSO technique (standard IEEE 30-bus test network). by Abdullah Khan (377292)

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