Hybrid machine learning for improved infection management in critically ill patients
More than 50% of Intensive Care Unit (ICU) patients have a serious infection and 70% of ICU patients are treate...
Preterm Birth Prediction
Each year, 1 million babies die as a result of preterm birth complications. Yet, many of them could be saved — provided timely and well-chosen medical interventions. What ...
Hybrid AI for smart building management
HVAC & building management systems are very complex and often contain configuration errors. There is often little budget for extensive testing during st...
Context-aware health monitoring
The goal of this project is to gain more insight into the context, profile and lifestyle of people in order to identify triggers and behaviors linked to stress, dep...
Realtime, context bewust en gepersonaliseerde detectie van stress in een stedelijke omgeving
In Nervocity wordt onderzocht hoe mensen die in Gent wonen of werken de drukte van de stad beleven.
Di...
Personalized alarming and contextualized dispatching through lifestyle monitoring
The needs of the care industry are quickly changing. An aging population is causing an increase in chronic disease...
Hybrid AI for leak localisation in the drinking water grid up to street level in soft real-time
As the climate changes, water availability comes under stress, making efficient water provision all ...
Een schaalbaar systeem voor dynamische analyse en visualisatie van sensordata.
Sensor-gebaseerde monitoringsystemen kennen een opmars in vrijwel alle bedrijfstypes. Tegelijk met een evolutie in se...
Realtime, context bewuste detectie van afwijkingen.
Machine learning kan in allerlei omgevingen afwijkingen detecteren, bijvoorbeeld in ICT- en telecommunicatienetwerken. Maar willen ze dat leren,...
A novel predictive maintenance platform to eliminate unexpected-breakdowns and extend the life of production systems
Z-BRE4K is focused on providing the Manufacturing Industry with a solution that...