Damage parameter estimation for ancient DNA
-
Updated
Sep 19, 2024 - Python
Damage parameter estimation for ancient DNA
Flood mapping and damage assessment in GEE
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.
MATLAB code to generate some results on the paper (Kitayama, & Cilsalar, 2022).
Building machine learning models that predict the damage level caused by an earthquake on a building using the Nepal's Earthquake dataset
Multi-Head Convolutional Networks for Post Earthquake Damage Assessment of Damaged Buildings
Guided Team Challenge 2021: Exposure Team Project
Post-Disaster Damage Assessment
AIM Group® Worldwide is an third party inspection and 3rd maritime professional specialists group independent acting globally in close to 100 countries.
AIMGroup is marine cargo ship surveyors and consultant with expertise on class and risk managing on seaworthiness and tecnical condition.
Geospatial analysis of flood impacts in Somalia, using GIS and spatial statistics.
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.
Add a description, image, and links to the damage-assessment topic page so that developers can more easily learn about it.
To associate your repository with the damage-assessment topic, visit your repo's landing page and select "manage topics."