Projects
Machine Vision for Quality Control KU Leuven
The TETRA project MV4QC wants to accelerate the implementation of machine vision techniques for quality control at companies by bringing together and structuring the available knowledge and innovative technology in this area, and providing it to the companies in the target group in a common and pragmatic way. This should allow them to determine which hardware and software is needed to develop their intended applications that will solve their ...
ICVS: Intelligent Control of weaving machines with Vision Systems Ghent University
For the continuous improvement of woven fabric quality, the current feedback method is fabric inspection. This is now most of the time done by a human operator and comes along with slow feedback and production losses. In this project the fabric quality is optimized through an interactive vision system, based on powerful image analysis tools
Venus Atmosphere exploration through machine learning and open science in preparation to EnVision - VAMOS KU Leuven
the last decades, Belgium has been involved in several planetary space missions, in particular to Venus, being responsible for or associated to space-borne instruments, or through ground-based observations of the planets. For example, the SOIR instrument onboardVenus Express was designed by BIRA-IASB. Different series of data on that exciting planet were therefore obtained thanks to the scientific expertise developed in our country. But now ...
Machine Learning-based sensor fusion for the detection of traffic incidents using Internet of Vehicles Hasselt University
Data fusion and structured input and output Machine Learning techniques for automated clinical coding. University of Antwerp
Machine Learning for Genomic Data Fusion KU Leuven
It has been shown that while a single genomic data source might not be sufficiently informative, fusing several complementary genomic data sources delivers more accurate predictions. In this regard, genomic data fusion has garnered much interest across biological research communities. Consequently, finding efficient and effective techniques for fusing heterogeneous biological data sources has gained growing attention over the past few ...
Computer simulation of material deposition and fuel retention in castellated structures of fusion machines Ghent University
To ensure thermo-mechanical stability and operational durability of the plasma facing components of ITER, it is foreseen to split them into small-size cells. The introduction of such castellated structures raises serious concerns about impurity accumulation and fuel retention in the gaps between the cells that may lead to unacceptable levels of fuel inventory (radioactive tritium). Modelling will be performed to understanding the basic ...
Unveiling the molecular coordination between the cell division machinery and S-layer biogenesis in Bacillus anthracis. Flanders Institute for Biotechnology
Quantifying earlier indicators of disease in group housed pigs using computer vision KU Leuven
Introduction Diseases in pigs cause negative impact on their wellbeing, increasing the cost of production in pig industry by the rate of weight loss and death observed in affected pigs and affects public health by the increased use of antimicrobials while the development of antimicrobial resistance. Early detection of health and welfare compromises in commercial piggeries is essential for timely intervention to enhance treatment success, ...