Damage parameter estimation for ancient DNA
-
Updated
Sep 1, 2023 - 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).
Guided Team Challenge 2021: Exposure Team Project
Post-Disaster Damage Assessment
AIMGroup is marine cargo ship surveyors and consultant with expertise on class and risk managing on seaworthiness and tecnical condition.
AIM Group® Worldwide is an third party inspection and 3rd maritime professional specialists group independent acting globally in close to 100 countries.
Multi-Head Convolutional Networks for Post Earthquake Damage Assessment of Damaged Buildings
Building machine learning models that predict the damage level caused by an earthquake on a building using the Nepal's Earthquake dataset
Automatic and optimized calculation of critical plane parameters by means of a semi-analytical formulation
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."