Select metabolites that are significantly altered in the <i>cop</i>^- strain when cultured in presence of 5 μM Cu(II)^b'*'. by Javiera Norambuena (137228)

Architecture of Swin-T model. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Model the experimental results curve. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Results of comparison experiments. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Architecture of Swin Transformer Block. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Disease distribution map of the GZDL-BD. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Token merging module. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

Comparative results of the ablation experiments. by Wen-Qing Huang (5258126)

“…Experimental results demonstrate that compared to the baseline model, the proposed enhanced model achieves a reduction of 2.5G Flops computational complexity and a 16% speed improvement on a private pavement disease dataset, with only a 1.2 percentage point decrease in AUC accuracy. Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …”

S4 NIRS data for control and S4 NIRS data for rTMS. by Nakako Okamoto (18501452)

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S3 Table for correlation between fNIRS and the BVRT - by Nakako Okamoto (18501452)

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S1 Table for BVRT correct - by Nakako Okamoto (18501452)

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Brain activities under control and rTMS. by Nakako Okamoto (18501452)

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S2 Table for BVRT error - by Nakako Okamoto (18501452)

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Experimental procedure. by Nakako Okamoto (18501452)

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The correct scores and the error scores of the BVRT for control and rTMS. by Nakako Okamoto (18501452)

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Relationship between BVRT and fNIRS in regions of interest (ROIs). by Nakako Okamoto (18501452)

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Funnel plot with trim and fill method applied to <i>z</i>-transformed correlations and standard errors of interoceptive accuracy (<i>k</i> = 68). by Carolin Wolters (488319)

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Overall and individual class accuracies of land use/ land cover (LULC) maps of Gedaref state for the years 1988, 1998, 2008 and 2018. by Maysoon A. A. Osman (16641628)

Accuracy of predicted municipality-level winter wheat yields as a function of an acceptable error. by Keach Murakami (11576825)

The significance of predictor variables from the randomised (100) Poisson GLM models for the proximal group. by Stella Gachoki (16024540)