- Component / Service / App
- KDD Lab of ISTI-CNR
Individual Crash Prediction based on Mobility Traces
An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead). The process is based on the analysis of historical data of several vehicles in terms of mobility (GPS p
- 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.
- Process
- Niels Reinhard
PredRepair Smart Manufacturing Logistic & Maintenance
The automotive after sales market is 44bn € in Germany alone. Our spare part recommendation engine allows car repair shops to deliver value with less human labor (increasing efficiency), allowing for higher value activities.
- 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
- 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 Other
- InnoConnect
Analytical Map of COVID-19 Spread
The Analytical Map of COVID-19 Spread in the Czech Republic is available at https://mapa-koronavirus.innoconnect.net/ (switch to EN in the settings menu at top left).