This project is grounded in three complementary theoretical perspectives: digital twin technology, material trade-off theory in electric motor design, and interactive learning theory. Digital twin theory provides the conceptual basis for linking system modelling with dynamic representation, supporting …

Background/Objectives: Digital technologies and data-driven approaches are rapidly transforming healthcare practice and enabling more personalized and preventive care. As personal health data becomes increasingly embedded in healthcare systems, understanding how future healthcare professionals interpret …

Undertaken in 2025, the Global Infrastructure Resilience Survey (GIRS) represents the largest global stocktake of infrastructure resilience to date, capturing the perspectives of over 3,000 professionals across more than 100 countries. The survey provides an unprecedented, practice-based view of the …

The ZIVRA platform is a proof-of-concept digital infrastructure that enables therapists to monitor and evaluate the quality of arm- and hand exercises performed by stroke patients using XR applications from multiple providers. The platform collects, analyses, and visualizes movement data obtained through …

This demo introduces prompt design as a research approach to studying visual generative AI, distinguishing it from prompt engineering practices that focus on producing aesthetically pleasing or technically polished outputs. Drawing on the query design framework from digital methods, we outline several …

Innovation in textile production and usage is gaining momentum, driven by both the urgent need for sustainable solutions and rising technological maturity of embedded functionalities in textiles. Traditional linear models of production and consumption are increasingly being replaced by product-service …

In de gezondheidszorg zijn datasets van klinische onderzoeken vaak hoogdimensionaal en hebben ze een kleine steekproefomvang, wat het risico op overfitting vergroot. Bovendien richt onderzoek in deze context zich doorgaans niet alleen op de nauwkeurigheid van de resulterende modellen, maar ook op de …

Technieken op het gebied van machine learning (ML) worden op grote schaal toegepast in de gezondheidszorg, variërend van precisiegeneeskunde tot de mogelijkheid van preventieve zorg. Een algemeen probleem bij klinische studies is de combinatie van hoge dimensionaliteit en kleine steekproefomvang, wat …

Explainability of AI systems is branded as a solution to the black box problem. The EU AI Act introduces AI explainability as a requirement for high-risk AI systems, including a right to explanation. However, understanding the wording of the requirements and the related provider and deployer obligations …

orecasting the thermal behavior of ?exible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within EMS require low-order models with minimal computational load to make rapid, real-time decisions. To bridge …