Statistical Analysis and AI Solutions on Earthquake Data [Duration: 2 terms]

Suggested Team Size: 3-4 students

Duration: 2 semesters

Requirements: Statistics knowledge, ANN experience (pytorch or keras)

Brief Description:

Kandilli Rasathane Laboratory is a open data source for earthquakes in Turkey. 

In this project, we aim to analyze the earthquake data and try AI solutions for window/histogram analysis. 

Required Tasks:

• First half of the 1^st term, you are supposed to do a literature survey and understand the data format.
• At the end of the 1^st term, you are supposed to collect and organize the data and implement some visualization tools for window analysis.
• First half of the 2^nd term, you are supposed to implement detailed analysis and visualization tools for window analysis.
• At the end of the 2^nd term, you are supposed to implement and compare AI techniques (CNN, GNN) for the window analysis. 

Useful Links & Reading Material:

• http://www.koeri.boun.edu.tr/sismo/zeqdb/
• http://www.koeri.boun.edu.tr/sismo/2/tr/
• http://udim.koeri.boun.edu.tr/bilgi/UdimIsleyisGenel.htm#_Toc10520922