The transition to a circular economy presents significant challenges for high-tech manufacturing, particularly among small and medium-sized enterprises (SMEs), which often face resource constraints. Digital Product Passports (DPPs) have emerged as pivotal tools for enhancing transparency, traceability, …

Although near-peer role modeling (NPRM) has been suggested as an effective pedagogical intervention for boosting confidence, motivation, and self-efficacy, few studies have examined its connection with learner needs and well-being utilizing an established psychological framework. The present study investigates …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

While the Municipality of Amsterdam wants to expand the electric vehicle public charging infrastructure to reach carbon-neutral objectives, the Distribution System Operator cannot allow new charging stations where low-voltage transformers are reaching their maximum capacity. To solve this situation, …

The shift from linear to circular business models is critical for sustainability in the construction and manufacturing sectors in the Netherlands. However, many companies face significant challenges in making this transition, including financial constraints, cultural resistance, and regulatory hurdles, …

Abstract. The rapid increase in e-waste poses significant environmental challenges. Most disposed Electrical and Electronic Equipment (EEE) products, including computers, mobile phones, and household appliances, are currently recycled for materials rather than reused, due to perceived low residual value. This …

Decarbonisation of urban logistics is a pressing issue. About one third of the freight-related CO2 emissions in the Netherlands relates to urban logistics, consisting of both vans and trucks. Although electrification is a feasible solution, delivery models that not only focus on reducing the carbon footprint, …

This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal re quirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is …

As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative …

Trust in AI is crucial for effective and responsible use in high-stakes sectors like healthcare and finance. One of the most commonly used techniques to mitigate mistrust in AI and even increase trust is the use of Explainable AI models, which enables human understanding of certain decisions made by …