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Table 4 AUC scores (+/- one standard deviation) of the detection models on the datasets.
Promising experimental results on the datasets have manifested the effectiveness of our proposed method.
The efficiency tests of VizLitG are performed on the datasets of different sizes.
Based on the datasets, the neural network is trained to improve its accuracy.
For this purpose, rotation and translation motion was simulated on the datasets.
However, most of the studies mainly focused on the datasets with the single endpoints.
See the Materials and Methods section for more information on the datasets.
See Section 4.1 for the explanation on the datasets utilized in this work.
Furthermore, the experimental results on the datasets will be discussed in this section.
The alignment was performed only on the datasets which were correctly reconstructed (all except the Decoration and the Carter).
This study is mainly based on the datasets from the Comprehensive Disaster Management Program CDMPP) study in Bangladesh in 2009.
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