Projects
Reducing the Carbon and Environmental Footprint of the Building Stock Using an Approach of Clustered Renovation. The Residential Building Stock of Leuven as a Case Study KU Leuven
The current renovation rate of the Belgian building stock is too low to reach the European climate goals. This research proposes a new approach of group renovations to increase the renovation efficiency and willingness to renovate. Through various research and construction projects, group renovations proved to be a good solution. However, these are currently only applied to similar buildings located in a single street or in uniform ...
The effectiveness of a blended care program for the discontinuation of benzodiazepines use for sleeping problems in primary care: a clustered randomized trial. University of Antwerp
Cloud4Wake - Data enriched simulation of wakes for all wind turbines in the North Sea nudged by SCADA data and other field data deployed on cloud Vrije Universiteit Brussel
Cloud4wake wants to better investigate the wake effects in wind farms, in such a way that, among other things, the adverse effects (including a lower production capacity) can be tackled and the business case of the farms improves.
Preparatory work in the analysis and reporting of data on multi-resistance in antimicrobial resistance isolate based data collected from reporting countries for the year 2012 Hasselt University
Automated reconstruction of Building Information Model objects from point cloud data KU Leuven
As-built Building Information Models are becoming increasingly popular in the Architectural, Engineering and Construction industry. These models reflect the state of a building up to as-built conditions and are used in numerous applications such as refurbishment, facility management and project planning. The production of these models includes the acquisition of the structure with remote sensing techniques and the manual placement of the ...
Data models for topographic inventories at large scale: From 2 to 3 dimensions KU Leuven
Advanced algorithm for integrated EEG-fMRI data processing. KU Leuven
Deep learning sensor fusion of images and other data KU Leuven
In this PhD we develop new methods to enable deep learning neural networks to use a combination of data of different nature as input. In contrast to classic image processing CNNs, that only take video data as input, we study the possibilities of adding other sensor data to the same neural network architecture, with the aim to yield an improved accuracy. We will develop and compare novel architectures and fusing methods and evaluate it against ...
Citizen Science Data for Biodiversity Conservation Policy in Agricultural Landscapes KU Leuven
The aim of the project is to investigate how opportunistic citizen science data can support biodiversity conservation policy in agriculture in an era of growing environmental concerns and increasing land use intensity. Species distribution models will be used to reduce the simultaneous effects of several biases that occur in opportunistic citizen science data. A combined approach will be proposed to minimize bias and we will use landscape ...