• 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

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  • Component / Service / App
  • Dr. Dumitru Roman

euBusinessGraph ATOKA+ – B2B Lead Generation Service

Atoka is a SaaS B2B lead generation service on the Italian market that provides a single point of access to very detailed, organized, summarized, up-to-date company information from open and non-open, official (e.g., national company registers)  and unofficial (e.g., the website of a company) sou

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  • Component / Service / App
  • Carlos Badenes-Olmedo

Cross-lingual Document Search Engine

Large-scale document search service that automatically categorizes and relates texts by content, regardless of the language used. Around 500 categories based on the EUROVOC thesaurus have been considered to process texts.

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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
  • Ahmet Soylu

OptiqueVQS

OptiqueVQS is a visual query formulation tool for expressing information needs in terms of queries over ontologies. OptiqueVQS is composed of an interface and a navigation graph extracted from the underlying ontologies.

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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 Medical
  • Oscar Corcho

DRUGS4COVID

We have annotated the corpus (full papers and their sentences) with their ATC codes, and made this resource available as an easy to query repository. Besides, we are applying probabilistic topic modelling and clustering techniques to cluster drugs, symptoms, diseases, etc.

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