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)

Distribution of the permutated Area under the curves (AUCs) in comparison to normal distribution and the significance of the real AUC for the best performed marker panel of (A) Pri... by Sakuni Rankothgedera (11457923)

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Improved Accuracy and Reliability in Untargeted Analysis with LC-ESI-QTOF/MS¹ by Ensemble Averaging by Guillaume Laurent Erny (21000926)

“…However, the complexity and variability in the data can introduce significant errors, impacting the reliability of the results. …”

Improved Accuracy and Reliability in Untargeted Analysis with LC-ESI-QTOF/MS¹ by Ensemble Averaging by Guillaume Laurent Erny (21000926)

“…However, the complexity and variability in the data can introduce significant errors, impacting the reliability of the results. …”

Precision and accuracy of GCK and PPD. by Ming-Si Deng (19475840)

Elevated progesterone levels in individuals with higher neuroticism score decreases emotion recognition performance. by Yasaman Rafiee (16323595)

Schematic flow chart for land use/land cover dynamics and accuracy assessments. by Workaferahu Ameneshewa (17403499)

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Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)

The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

The influence of the smoothing parameter on prediction accuracy. by Sabine Haberland (22783613)

Schematic illustration of statistical analyses for regional average PLI (non-parametric permutation test; the significant difference is indicated by red region) and regional PLI (n... by Rok Požar (8582310)