Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

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 …

Methane, the primary component of natural gas, emits less carbon dioxide than other petroleum-based fuels but faces challenges in efficient storage and transportation. Advanced adsorption materials provide a safe and cost-effective solution, with metal–organic frameworks (MOFs) emerging as promising …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

This study evaluates the effect of gamification on the engagement and performance of first-year students in the International Supply Chain Management course at a University of Applied Sciences. Several students were exposed to the pilot of The Fresh Connection compact, a simulation game which was implemented …

This paper emphasizes the importance of rethinking the concept of expressiveness and how we approach itin higher music education (HME). It highlights that current teaching practices often focus on acoustic elements of performance, while overlooking the visual ones, despite evidence that ancillary gestures, …

Background and aim. To improve the indoor environmental quality (IEQ) in schools, the Dutch government issued a program of requirements (PoR) “Fresh Schools”. This study aims to determine the effect of adopting class A (high IEQ) or B (moderate IEQ) of this PoR on students’ comfort and performance. Requirements …

This seminar presents a multidisciplinary research path connecting materials science, nanotechnology, and sensor systems. It begins with earlier work on the development and characterization of functional materials, focusing on lead-free piezoelectric materials. The second part introduces ongoing research …

INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine …

Introduction: Several barriers, such as lack of time, knowledge and support, hinder clinicians from providing an individually tailored physical activity (PA) prescription and referral to their patients. As a result, “exercise is medicine” (E = M) is not systematically implemented in clinical care today. …