Projects

MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by …

KardioInterakt – Interaktionstechnologien zur Patientenversorgung bei betreuungsintensiven Herzerkrankungen

Besonders in der Covid-19-Pandemie wurde deutlich, dass die Nachsorge von Patienten mit chronischer Herzinsuffizienz, etwa durch das Post-Covid …

ZLW – Zukunftslabor Wassermanagement

Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − …

DZW – Digital twin in water resource management

Being able to guarantee unrestricted access to fresh drinking water is generally taken for granted. However, the appearance of clean water is …

HumanTech – Human Centered Technologies for a Safer and Greener European Construction Industry

The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make …

APLASTIC-Q-Canada – Machine Learning identification of pollutants and other debris in Canadian Waterways

The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems …

idFlexNetz – Creation of an ICT ecosystem for forecasting and operating models for the grid-serving operation of controllable consumers and generators

The joint project "idFlexNetz" aims to create an ICT ecosystem that enables initially heterogeneous models and algorithms to be traded as digital …

PlasticObs_plus – Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing …

SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding …

FloReST – Urban FloodResilience - Smart Tools

Partners Das Projektkonsortium besteht aus der Hochschule Koblenz (Konsortialführer), der Universität Trier, der Hochschule Trier mit dem …