Tetatet AI
AI in Healthcare is a vast topic which entails major changes in many sectors related to health. This section provides references on projects and results which are of utmost importance for the sector of healthcare.
We introduce SemiLake, a semi-supervised representation learning-powered urban lakes and algae monitoring system.
AQQA was an AI4Copernicus micro-project, selected in the 5th round of open calls. It aimed to test a language-based interaction with air quality data by making use of linked geospatial data tools and the health bootstrapping service provided by the AI4Cop...
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in...
The Lobelia Air project focuses on calibrating low-cost air quality sensors using AI techniques leveraging on EO derived AQ and meteorological data.
Introducing ESFA (Empirical Season Forecast for Agriculture) – your reliable companion in long-term agricultural planning. Our validated AI algorithms, which outperform other state-of-the-art climate prediction models, are at the core of ESFA's capabiliti...