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damage-assessment

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GeoAdvances-EQ-Scene-Classification-2023-Kahramanmaras

This repository houses a comprehensive deep learning-based system for the scene classification of very high-resolution satellite imagery, focusing on post-earthquake damage assessment. The primary case study involves the devastating earthquakes that occurred in Kahramanmaraş province, Türkiye, in 2023.

  • Updated Mar 21, 2024
  • Jupyter Notebook
the_inspection_company
shipsurvey

This repository provides the SeAn-CP method, a semi-analytical algorithm for efficiently calculating critical plane factors in fatigue analysis. Compatible with finite element analysis, it handles complex geometries and loading conditions, offering a faster alternative to traditional plane scanning with similar accuracy.

  • Updated Sep 3, 2024
  • MATLAB

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