bb9dee10de89a7969f0e85910ce91465e7bafd19
Removed sections on access restrictions and copyright details.
Summary
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.
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) dataset, which is not included here.
Restrictions
- No Derivative Works or Cloning: Any form of copying, cloning, or creating derivative works based on this repository is strictly prohibited.
How to Run stft.ipynb
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run
pip install -e .in root project first -
run the notebook
Description
Languages
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Jupyter Notebook
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Python
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