- Component / Service / App
- Inlecom Group BVBA
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.
- Platform / Framework
- Sirma AI (Ontotext)
HistoGrapher
Histographer is a software platform for building holistic solution integrating multimodal histopathology data.
- Component / Service / App
- AEGIS IT Research LtD
AEGIS Advanced Visualization Toolkit (AVT)
AEGIS has designed and implemented the AEGIS Advanced Visualization Toolkit that is an extensible software with a wide application scope, ranging from Digital Forensic Analysis to Big Data analytics.
- Component / Service / App
- Created by University of Novi Sad Faculty of Sciences (UNSPMF) and Barcelona Supercomputing Center
ADMM Machine Learning Algorithms
This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY
- Component / Service / App
- RENVIS
SOFIA DSS
SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.
- Component / Service / App
- Bodypass
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.
- Platform / Framework
- Bodypass
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.
- COVID-19 Other
- Georgios Petropoulos
Artificial intelligence in the fight against COVID-19
Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads.
- Platform / Framework
- Ecovid19
COVID-19 Data portal
The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research
The COVID-19 Data Portal
- Platform / Framework
- DEEP-Hybrid-DataCloud
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.