Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

Misleading graphs can give readers a distorted view of the underlying data. We want to know how to most effectively correct misleading graphs and if it matters whether a correction uses the full-design of the original or a clean design with all embellishment and colors removed. We focus on vocationally …

Tracheostomy is a life-saving procedure with complications often linked to suboptimal tracheostomy tube fit. Customised tubes could reduce these risks, but their development requires precise tracheal morphometric data. This study presents an automated workflow for extracting high-resolution tracheal …

How do citizens, designers, policymakers, and local entrepreneurs actually work together in ways that are inclusive, sustainable, and effective? Collaboration in urban innovation is often treated as a matter of method or structure, but what happens when timelines clash, trust falters, or understanding …

To achieve national climate ambitions, accelerating the energy and circularity transitions is essential. The challenge lies in building response capacity within organisations, municipalities and the education sector to shape responsible, future-oriented practices that can drive energy and circularity …

Citizen science has demonstrated potential to foster local changes in public health, including physical (in)activity. We used community-engaged citizen science to explore how to improve the exercise-friendliness of a Dutch neighborhood, chosen because it scored below average on important health parameters. …

This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …

Het artikel onderzoekt de effectiviteit van geautomatiseerde clustering in gepersonaliseerde toepassingen op basis van gegevenskenmerken. Het evalueert drie clusteringalgoritmen met verschillende aantallen clusters en subsets van kenmerken. De studie vergelijkt de nauwkeurigheid van modellen in verschillende …

Research Aim So far, Implementation Science has mainly focused on implementing and de-implementing specific evidence-based interventions. However, this is not always feasible. Implementation science has not yet formulated a response to this. We believe that implementation science can provide an opportunity …

Presentatie tijdens de International Conference for Research in Music Education