Digital twins bringing agility and innovation to manufacturing SMEs, by empowering network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)
NEANIAS will promote Open Science practices and play active role in the materialization of the EOSC ecosystem by efficiently engaging large scientific and professional communities; actively contributing to the technological, procedural, strategic and...
The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e...
The mission of CloudiFacturing is to optimize production processes and producibility using Cloud/HPC-based modelling and simulation, leveraging online factory data and advanced data analytics, thus contributing to the competitiveness and resource...
The main, overall objective of the project is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems. The main...
Define a generic pluggable framework, called MiCADO (Microservices-based Cloud Application-level Dynamic Orchestrator) that supports optimal and secure deployment and run-time orchestration of cloud applications. The project will provide a reference...
LinkingDanube deals with insufficient provision of cross-border traveller information on public transport, particularly considering cross-border commuting and mobility in rural areas. The overall project objective is to foster environmentally...
Industry 4.0 Research and Innovation Centre of Excellence
Department in charge
Progressive and well scheduled building of bridges between the physical and digital worlds, a special readiness for innovative adaptation, answers to challenges in a prompter way than any time before, including bold steps to be made concerning...
Our department develops a 2-camera vision system within the MTA-SZTAKI ISAAC internal project, which system can detect and track a small UAV in real-time on the Sindy aircraft. The system can also identify dangerous approaches. Many algorithmic...
STREAMLINE will address the competitive advantage needs of European online media businesses (EOMB) by delivering fast reactive analytics suitable in solving a wide array of problems, including addressing customer retention, personalized...
Alternative machine learning models in financial customer knowledge
Department in charge
Our goal is to overcome the present state of the art (decision trees, logistic regression) in analyzing customer behavior and predicting risks for bank customers. We emphasize the deployment of open source analytics software. Our partner is OTP Bank.
Existing research mostly focuses on pre-optimising algorithms, which are not applicable to already available VM images. With its VM synthesiser, ENTICE will extend pre-optimising approaches so that image dependency descriptions are mostly...
