- 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.
- Component / Service / App
- KDD Lab of ISTI-CNR
Extracting relevant locations from individual mobility
A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.
- Other
- Data Science Lab, University of Piraeus
Distributed Sub-trajectory Clustering
Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.
- COVID-19 Other
- Lanfranco Marasso
GoSafe
The aim of #GoSAFE is to establish an interoperability model to enable cross border mobility during COVID-19 crisis, based on: (1) Solid national back offices providing information on people infected and (2) the GoSAFE BioSurveillance Kit BSK.
- 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
- Gregorio M. Toral
Optimisation of traffic flow in Berlin
Ciclogreen has developed an analytics and prediction tool that, given the historical data of the traffic flow at a given point in the city, will simulate behaviors that could generate congestion or flow of traffic, public transport, and pedestrians.
- 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
- Component / Service / App
- BigDataStack Consortium
BigDataStack - High-performance data-centric stack for big data applications and operations
BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.