K-fold cross validation accuracy of different models. by Shayla Naznin (13014015)

Accuracy metrics with different percentage of the training dataset. by Saravanan Manoharan (21273304)

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The accuracy of classifiers and voting plans. by Mohammadreza Namdar (22439057)

Heatmap with dendrogram of hierarchical clustering analysis of 18 statistically significant differentially expressed proteins (DEPs) between histologic chorioamnionitis (HCA) case... by Ji Eun Lee (407595)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

Average accuracy of different models. by Fuxing He (19555871)

“…The results show that in the comparison experiments, the improved micro-miniature fourth-generation real-time target detection algorithm outperforms the traditional target detection algorithm, with the loss value decreasing to 1.54. Its average accuracy in multi-target recognition is dramatically increased to 86.74%, which is 22.36% higher than the original model, and the ping-pong ball recognition experiments show that it has an excellent accuracy in various lighting conditions, especially in low light, with an average accuracy of 89.12%. …”

Accuracy assessment of the 1991, 2006, and 2021 classified images. by Workaferahu Ameneshewa (17403499)

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Accuracy test results. by Yuxuan Ji (13991895)

“…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”

Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

MRI grading systems’ diagnostic accuracy for MD. by Neda Azarpey (20308334)

“…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”

Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type. by Chengmin Zhou (14554562)

Accuracy and loss values of each model. by Hongwei Bai (1447999)

“…Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”

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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