Projects
Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding KU Leuven
Natural language understanding (NLU) by the machine is of large scientific, economic and social value. Humans perform the NLU task in an efficient way by relying on their capability to imagine or anticipate situations. They engage commonsense and world knowledge that is often acquired through perceptual experiences to make explicit what is left implicit in language. Inspired by these characteristics CALCULUS will design, implement and ...
SONORA: The Spatial Dynamics of Room Acoustics. KU Leuven
The SONORA project aims to increase the general understanding of how complex sound scenes are impacted by the spatial dynamics of room acoustics. This knowledge is crucial in the design of signal processing algorithms for audio acquisition and reproduction problems in real-life situations, where moving sound sources and observers interact with room acoustics in a complicated manner.
A major part of the project will be devoted to the ...
Deep Learning-based delamination assessment of complex composite structures from UGW responses under varying environment KU Leuven
The present research proposal aims towards developing a Deep Learning (DL)-based inverse delamination damage assessment approach in complex industrial composite structures from Ultrasonic Guided Wave (UGW) responses under extreme and varying operating and environmental conditions (temperature, humidity, pressure). The proposal consists of a number of important innovative components, such as a) Developing an efficient model for easy ...