For people with early-dementia (PwD), it can be challenging to remember to eat and drink regularly and maintain a healthy independent living. Existing intelligent home technologies primarily focus on activity recognition but lack adaptive support. This research addresses this gap by developing an AI …

Introduction: Nursing students will come across stressful situations during their internships and will continue to do so in future practice. Because of the impact stress can have on performance, nursing students need to be equipped to work and collaborate in such situations. Careful consideration of …

Technology-Based Simulation Learning (TBSL) is veelbelovend. Het maakt leren niet alleen leuker en veiliger, maar bereidt zorgprofessionals (in opleiding) ook beter voor op de praktijk. Daarnaast biedt TBSL kansen om het aantal leer- en werkplekken uit te breiden – iets waar nu al een tekort aan is, …

Aiming for increased accessibility and adaptability, higher educational institutes are making their curricula more flexible, offering students more freedom to choose what courses they want to take. Making a well-informed choice out of many possible elective courses is difficult, because it requires the …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

Industry 4.0 has placed an emphasis on real-time decision making in the execution of systems, such as semiconductor manufacturing. This article will evaluate a scheduling methodology called Evolutionary Learning Based Simulation Optimization (ELBSO) using data generated by a Manufacturing Execution System …

Laboratory experiments are important pedagogical tools in engineering courses. Restrictions related to the COVID-19 pandemic made it very difficult or impossible for laboratory classes to take place, resulting on a fast transition to simulation as an approach to guarantee the effectiveness of teaching. …

Data-driven condition-based maintenance (CBM) and predictive maintenance (PdM) strategies have emerged over recent years and aim at minimizing the aviation maintenance costs and environmental impact by the diagnosis and prognosis of aircraft systems. As the use of data and relevant algorithms is essential …

Although causal inference has shown great value in estimating effect sizes in, for instance, physics, medical studies, and economics, it is rarely used in sports science. Targeted Maximum Likelihood Estimation (TMLE) is a modern method for performing causal inference. TMLE is forgiving in the misspecification …

The European Commission aims for a full circular economy (CE), an economy that aims to reuse all resources in 2050. CE is a promising way to increase welfare and wellbeing while decreasing environmental footprints. Industrial symbiosis, in which companies exchange residuals for resource efficiency, is …