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@@ -32,25 +32,7 @@ This modelcard aims to be a base template for new models. It has been generated
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  ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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  ## How to Get Started with the Model
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  Only TF-Keras (v. 2.15.0) is sufficient to run the model.
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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  ## Model Card Contact
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  ## Uses
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+ The model takes 48 real numbers (of Fourier components, combined real and imaginary) as input, and reconstructs a 128x128 image corresponding to them.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## How to Get Started with the Model
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  Only TF-Keras (v. 2.15.0) is sufficient to run the model.
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+ ## Citation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Selcuk-Simsek, M., Massa, P., Xiao, H. et al. Fourier convolutional decoder: reconstructing solar flare images via deep learning. Neural Comput & Applic (2025). https://doi.org/10.1007/s00521-025-11283-6
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  ## Model Card Contact
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