The goal of this project is to develop a framework that helps people to escape wildfires happening near them, in real-time.
The goal of this project is to employ a density-based deep learning model to perform animal census based on aerial photography.
The goal of this project is to use a mobile app for more efficient contact tracing in order to mitigate and contain the spread of COVID19 in the Cyprus community.
The goal of this project is to identify where dumping occurs from satellite imagery and then check whether this dumping is illegal.
The goal of this project is to use insights from human and animal cognition to improve the performance of deep learning models.
The goal of this project is to find a dynamic solution for the division of labour among robots, for different types of agricultural fields..
The goal is to use aerial photos coming from drones, combined with ground truth data to teach deep learning models to correctly classify tree species in Japanese forests based on their canopy.
The goal of this project is to develop a tool for automated analysis of small-scale photovoltaic systems and their potential ROIs.