Egy adott szenzorplatformról a vizsgált esemény értékelhető néhány leképzési eljáráson alapuló felismerési módszerrel, például mély-tanulási struktúrákkal. Ebben a folyamatban az adat / tulajdonság halmazt értékelő hálózatokon keresztül szemantikus...
With new hardware and artificial intelligence against skin cancer: The aim of the iToBoS project is to train an AI system able to integrate information from different sources, assessment of individual moles while considering the specific...
Results of the HydroCobotics H2020 cascade project may enhance the possibilities of hydroponic systems to make an already environment-friendly and efficient plant production system even more popular.
Knowledge graphs have become the most important tools of sharing and connecting research or industry information and contacts. These graphs enable, in a flexible way, the access, use and publication of data as a distributed system. Due to the...
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)
Detection of the road environment and various traffic events by an intelligent road vehicle
Department in charge
The aim of the project is to determine which of the following vehicle features is the most important for properly managing traffic situations and in taking traffic related decisions while driving a modern car. The considered vehicle features are the...
Bring back to the engineering students the results of research activities in the field of digital manufacturing. Modeling, analysis, virtual and augmented reality, as well as the role of the human workers in the factories have been among the main...
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 goal of the project is to reduce the death rate of neonatal and prenatal infants, and increase their chances of living via developing vision based non-contact body devices for monitoring physiological signals like pulse rate, breath rate, blood...
Multimodal feature fusion for establishing novel 3D saliency models
Department in charge
The project aims to process the data of novel 3D sensors (e.g. Microsoft Kinect, Lidar, MRI, CT) available in a wide range of application fields and to fuse them with 2D image modalities to build saliency models, which are able to automatically and...
