Damage parameter estimation for ancient DNA

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.

Flood mapping and damage assessment in GEE

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.

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

Automatic and optimized calculation of critical plane parameters by means of a semi-analytical formulation