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Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement
StrainNet predicts the strain field directly from the image input without relying on the displacement prediction, which significantly improves the strain prediction accuracy.
Using GAN-based models to sentimental analysis on imbalanced datasets in education domain
This paper trains machine learning and deep learning models using both balanced and imbalanced datasets for sentiment classification.
Modeling and Analysis of Three Properties of Mobile Interactive Systems Based on Variable Petri Nets
The case study of a practical mobile payment system shows the effectiveness of the proposed method.
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