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@@ -187,6 +187,41 @@ python train_evidential_model.py
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python test.py
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```
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## Citation
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If you use something in this repository, please be kind and cite our work through:
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```
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@article{HOXHA2025139829,
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title = {Contrastive learning for robust defect mapping in concrete slabs using impact echo},
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journal = {Construction and Building Materials},
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volume = {461},
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pages = {139829},
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year = {2025},
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issn = {0950-0618},
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doi = {https://doi.org/10.1016/j.conbuildmat.2024.139829},
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url = {https://www.sciencedirect.com/science/article/pii/S0950061824049717},
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author = {Ejup Hoxha and Jinglun Feng and Agnimitra Sengupta and David Kirakosian and Yang He and Bo Shang and Ardian Gjinofci and Jizhong Xiao},
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keywords = {Impact echo, Bridge decks, Contrastive learning, Concrete defects}
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}
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```
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and
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```
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@ARTICLE{10168232,
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author={Hoxha, Ejup and Feng, Jinglun and Sanakov, Diar and Xiao, Jizhong},
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journal={IEEE Robotics and Automation Letters},
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title={Robotic Inspection and Subsurface Defect Mapping Using Impact-Echo and Ground Penetrating Radar},
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year={2023},
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volume={8},
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number={8},
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pages={4943-4950},
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doi={10.1109/LRA.2023.3290386}}
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```
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## License:
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## Performance Notes
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- **MPS (Apple Silicon)**: Automatically detected and used if available

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