Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

As youth workers increasingly offer support and guidance within digital environments, the question arises as to what impact this support has on the (online) lives of young people. This paper explores the contribution of youth work practice in the online lifeworld on young peoples’ development, building …

Adsorbed natural gas (ANG) storage using metal-organic frameworks (MOFs) is a promising alter- native for efficient natural gas storage at moderate pressures. However, the presence of higher alkanes in natural gas mixtures can significantly affect storage performance by reducing methane adsorption capacity. …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

This white paper explores the challenges to integrating Artificial Intelligence (AI) solutions into clinical practice, addressing perspectives on a) human factors, b) AI technologies, and c) integration in clinical workflow. Through creating insights into these perspectives, we aim to contribute to the …

We present GarpN, a software tool designed to integrate qualitative and quantitative modelling. GarpN has three functionalities: translating a qualitative representation into a quantitative model, running numerical simulations and detecting quantitative states, and matching these states to their qualitative …

This paper describes the development of a systemsbased reference model to support teachers in learning about collaborative learning among teachers. By representing collaborative dynamics into a formal model, the project offers a tangible means to support sustained, collective professional growth. The …

Students often struggle with constructing models of system behaviour, particularly in open modelling tasks where there is no single correct answer. The challenge lies in providing effective support that helps students develop high quality models while maintaining their autonomy in the modelling process. …

To reduce greenhouse gas emissions from the transport sector, shifting to rail transport is crucial. This transition will increase the demand on existing rail infrastructure, necessitating large-scale monitoring to maintain its resilience. Point cloud data are an ideal candidate for this purpose, as …