• 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

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  • 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.

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  • 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.

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  • Platform / Framework
  • Dr. Dumitru Roman

euBusinessGraph – EBG Marketplace

The EBG “company data marketplace” ia a place where company data providers can advertise their data, and data consumers can search, analyse, and compare data from the data providers, all in a unified way.

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  • 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.

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  • Component / Service / App
  • Razvan Pistolea

Predictive maintenance models for Industrial robots in body shop

An easy way to export/ extract the sensor data (velocity, current, temperature)

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  • 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.

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  • 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

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  • 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.

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  • COVID-19 Other
  • Daniel Wolffram

DISCOVID.AI - a search and discovery engine for CORD-19

Because of the rapid increase in literature around COVID-19, it is hard to keep up with the newest publications and find articles that are relevant for your work.

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