Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

This research developed and validated a cost-effective proof-of-concept system to measure tyre forces and moments. The C 8k setup was calibrated and verified against a wheel force transducer, demonstrating accurate measurements of the wheel axis. Road tests at the RDW test centre captured both linear …

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 …

Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. …

The healthcare sector ranks among the largest consumers of single-use plastics, generating substantial amounts of waste, an issue strikingly captured in Maria Koijck's breast surgery photography. To reduce the environmental impact, biobased and biodegradable polymers are promising alternatives to conventional …

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 …

Citizen science has demonstrated potential to foster local changes in public health, including physical (in)activity. We used community-engaged citizen science to explore how to improve the exercise-friendliness of a Dutch neighborhood, chosen because it scored below average on important health parameters. …

This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …

This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …

This article reports the findings of focus-group discussions with healthcare providers concerning the facilitators and barriers they experience when engaging in therapeutic patient education (TPE). Methods: Five focus-group discussions were held with a total of 21 primary and secondary healthcare providers. Discussions …