- 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.
- 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.
- 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.
- 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.
- COVID-19 Medical
- Kirill Vechera
Laboratory Optimizer for Mass Testing
The program is a tool for the laboratory personnel. It plans the process of mixing samples, keeps records of samples and assays, and calculates the results of samples according to the results of assays completed.
- Platform / Framework
- ATB – Institut für angewandte Systemtechnik Bremen GmbH
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.).
- Platform / Framework
- Ricardo Vitorino
Ubiwhere Urban Platform
Ubiwhere Urban Platform focus on understanding how external factors (such as the weather, location of points of interest or the time of the year) affect the way people move, by analysing anonymised historical booking data (from public transportation and vehicle sharing systems) and correlating i
- Platform / Framework
- Spiros Mouzakitis
BigDataOcean Platform
BigDataOcean brings a digital revolution the maritime industry by creating a large maritime big data infrastructure that enables collaborative, data-driven intelligence.