Manufacturing firms are increasingly adopting AI to improve inspection, maintenance, scheduling, robotics, digital twins, knowledge management, and supply chain coordination. However, these applications do not automatically create human-centered progress. Without deliberate organizational maturity, AI …

Critical materials are economically important raw materials with high supply risk. They are widely used in electronic components, batteries, sensors and drone-related systems. For Europe, access to these materials is a strategic issue because many of them are not sufficiently available within the European …

The goal of this project is to investigate the feasibility and value of a modular tool system for the Roberine machine platform (seen in Figure 1). Currently, the Roberine is used as a mowing machine with a limited range of available tools. This may reduce its versatility compared to competing machines …

Permeable pavements are implemented at more than thousand locations enabling rainfall infiltration and evapotranspiration of stormwater in The Netherlands. However, the efficiency has not been extensively tested. Therefore, research is conducted using a full-scale infiltration test (FSIT) method to measure …

This thesis investigates the development of internal shear stresses in stiffened-core deep composite pile foundations, with particular focus on the FUNDEX Combi Pile system. These piles are widely used in urban environments due to their vibration-free installation and ability to perform under challenging …

This paper proposes a methodological framework designed to provide guidelines for building a demonstrator for various tasks within the context of cyber-physical systems. The framework is based on a design science framework that provides a systematic methodology to help reshape the objectives, attributes, …

In recent years, care for people with severe mental illnesses (SMI) has shifted from institutional to recovery-based treatment in which informal caregivers often have an important role. However, their increased involvement has elevated issues such as role strain or burden of care, which indicates that …

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 …

This paper presents a conceptual model for creating digital educational games that aim to reduce mathematics anxiety (MA) and promote positive emotional engagement in mathematics education. No empirical data were collected or analyzed; the proposed model is based on a synthesis of theory and empirical …

BACKGROUND: Advanced interventions to enhance the mental health literacy (MHL) of educational professionals are now available, though their effectiveness varies, likely due to contextual differences. To adapt these interventions for use in other countries, a systematic and tailored approach is required …