18 lines
841 B
Markdown
18 lines
841 B
Markdown
## Summary
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This repository contains the work related to my thesis, which focuses on damage localization prediction. The research explores the application of machine learning techniques to structural health monitoring.
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**Note:** This repository does not contain the secondary data used in the analysis. The code is designed to work with data from the [QUGS (Qatar University Grandstand Simulator)](https://www.structuralvibration.com/benchmark/qugs/) dataset, which is not included here.
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## Restrictions
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- **No Derivative Works or Cloning:** Any form of copying, cloning, or creating derivative works based on this repository is strictly prohibited.
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[LICENSE](https://github.com/nuluh/thesis?tab=License-1-ov-file#readme)
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## How to Run `stft.ipynb`
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1. run `pip install -e .` in root project first
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2. run the notebook
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