Containerised Genetic p-Median Solver
The p-median solver developed by the Track&Know project uses a genetic algorithm approach to solve the Location-allocation problems in polynomial time. Location-allocation problems typical deal with provisioning of resources between facilities based on historic demand.
Full-body mapping and automatic registration of medical (CT) images for geometrical and tissue queries
Registration of volumetric 3D body avatar model with the growing number of organs into medical (thorax-abdomen CT) images to and patient metadata. Extraction of fat percentages and internal organ dimensions.
Blockchain network for exchanging 3D personal data extracted from medical images and body scanners
Private blockchain network that includes a metrics catalogue. Data customers are connected to data providers. Data costumers can configure SQL queries and obtain individual anonymised data or aggregated data.
DEEPaaS - Deep Learning for everybody
The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.
Cross-CPP - A single point of access to multiple data streams
Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).
AEGIS Data Management and Analytics Platform
The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.