Some premature infants spend weeks in incubators. During this time, their nervous system continues to develop. It is medically proven that prolonged periods of pain during this phase impact negatively the development of their white matter. However...
B-prepared builds on a freely accessible massive collaborative knowledge base and data hub, demonstrating its usefulness via three demonstrator applications: a cooperative multiplayer VR serious game, simulating real disaster scenarios for the safest...
The project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are...
The Multinational Capability Development Campaign (MCDC) Artificial Intelligence Supported by Sensor Fusion project was jointly organised by HUN-REN SZTAKI (Hungarian Research Network Computer and Automation Research Institute), the MH Military...
Development of an AI-supported, camera-based product family for monitoring and predicting daily activities of premature infants
Department in charge
Currently used methods rely exclusively on objective diagnostic tools for monitoring the condition of infants. However, professionals increasingly recognize the importance of individual quality of life for patients, although suitable tools for...
Integrated measurement device demonstrator for phototropic industrial microalgae reactors
Department in charge
The goal of the project is to develop a series of instruments that autonomously measures the physiological data of phototropic industrial microalgae and environmental parameters essential for automating algae cultivation. These instruments will...
PREdictor for HUman-RObot COllaboration (PREHUROCO) utilizes interactive technologies in a new innovative way to create a cobot independent pre-collision approach for reducing these cumulative delays. PREHUROCO technology creates a shared virtual...
The aim of the R&D project led by Medicor Ltd. is to increase the survival chances and ensure the quality survival of neonates born with very low birth weight (500 grams). The development is based on an already successful cooperation established in...
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 aim of the project is to implement a new incubator device that reduces the mortality rate of newborns, particularly premature infants, improves their survival chances and prospects, mitigates damage, and enhances their safety. This will be...
