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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit neural representations (INRs
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, and you contribute a positive attitude. In addition, you are always creative and innovative – you see new possibilities, think in new ways, and transform ideas into realistic practices. The application
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